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The aim of this study was to examine the impact of Quality Management (QM) enablers, such as leadership, people management, policy & strategy, and QM processes (educational, administrative), on the organizational effectiveness (OE)”. The data was collected from 365 heads and faculty professionals of Indian engineering educational institutions (EEIs). SmartPLS and fsQCA 3.0 software was used to test the relationships between the variables. The results were based on fuzzy qualitative comparative analysis (fsQCA), which looked at different combinations that could be used to improve OE. Earlier studies have mostly tried to look at the direct link between QM enablers and organizational effectiveness. Our results show, on the other hand, that QM processes act as a bridge between QM enablers and organizational effectiveness. There is hardly any research that has looked into how quality management enablers, quality management processes, and organizational effectiveness are linked. This study tries to figure out how they work together in EEIs. By using both direct and configurational methods, the study helps improve the quality of organizational (engineering education) matters. Analysis shows the fsQCA calibration procedure value of 0.50 which represents a crossover point between the two extremes. The consistency scores vary from 0.60 to 0.69 and that the consistency values of the three causal conditions are more than 0.65. The overall constancy of the solution was 0.81, with the full solution and a portion of the complete solution having constancy greater than or equal to 0.80. Finally, the use of fsQCA shows that there are many ways to improve quality policies, leadership and top management commitment, and quality management processes that lead to more effective organizations.

This study aims to contribute to the existing literature on higher education marketing by proposing and empirically testing a theoretical model linking higher education quality, student satisfaction, and subjective well-being. The bottom-up spill over theory, the stimulus-organism-response theory, and the expectancy-disconfirmation theory, inform the development of the theoretical model of the study. A cross-sectional survey design is adopted, and data are collected from a sample of students from Mauritian Universities. The model is estimated and tested using a variance-based and prediction-oriented approach to structural equation modelling, specifically partial least squares structural equation modelling (PLS-SEM). The results demonstrate that approximately one-fifth of university students’ subjective well-being is explained by the quality of their student life and their satisfaction with higher education services. Based on these empirical results, we discuss and present key implications for higher education marketing.

Research aim : This research aimed to develop a technology acceptance model based on innovation and marketing perspective on ride-hailing services application. Design/Methode/Approach : This research is an explanatory quantitative research that use a primary data which collected from 303 ride-hailing services application users with questionnaire. The methods were used in this research is SEM - neural network methods. SEM is used to analysis the significant of effect of independent variable on dependent variable while neural network is used to identify the most importance independent variable on explaining dependent variable. Research Finding : First, the SEM analysis result shows that relative advantage, price, promotion and distribution have an impact on user satisfaction. In intention to use variable furthermore, The only influencing variables are user satisfaction and distribution. Second, the results of neural network analysis on user satisfaction model shows that promotion is the most importance variable in explaining user satisfaction with followed by relative advantage, price and distribution. In neural network model of intention to use, user satisfaction is the most importance variable with followed by distribution. Theoretical contribution/Originality : With the results of this study it can be said that there is an integration of aspects of innovation and marketing in explaining application user acceptance. Practitionel/Policy implication : This research can be one of the considerations for the management of online transportation services to make a decision related to the service quality development, especially from the aspect of customer-based innovation and marketing. Research limitation : The limitations in this study are limited to use of neural networks as a machine learning method and conceptual aspects of innovation and marketing in explaining application user acceptance. &nbsp, Tujuan Penelitian : Penelitian ini bertujuan untuk mengembangkan dan menguji model penerimaan teknologi berdasarkan perspektif inovasi dan pemasaran pada aplikasi layanan transportasi online. Desain/ Metode/ Pendekatan : Penelitian ini berjenis penelitian kuantitatif eksplanatori dengan menggunakan data primer yang dikumpulkan dari 303 pengguna aplikasi layanan transportasi online dengan kuisioner. Metode yang digunakan pada penelitian ini adalah metode SEM – neural network. Metode SEM digunakan untuk menganalisis signifikansi pengaruh variabel independen terhadap dependen sedangkan neural network digunakan untuk mengidentifikasi variabel dependen yang paling penting dalam menjelaskan variabel dependen. Temuan Penelitian : Pertama, hasil analisis SEM menunjukkan bahwa keunggulan relatif, harga, promosi dan distribusi berpengaruh terhadap kepuasan pengguna. Selanjutnya pada variabel minat penggunaan, variabel yang berpengaruh hanya kepuasan pengguna dan distribusi. Kedua, hasil analisis neural network pada model kepuasan pengguna menunjukkan bahwa promosi menjadi variabel paling penting dalam menjelaskan kepuasan pengguna dengan diikuti oleh keunggulan relatif, harga dan distribusi. Pada model neural network minat penggunaan, kepuasan pengguna menjadi variabel terpenting dengan disusul oleh distribusi. Kontribusi Teoritis/ Originalitas: Dengan adanya hasil penelitian ini dapat dikatakan bahwa adanya integrasi aspek inovasi dan pemasaran dalam menjelaskan penerimaan pengguna aplikasi Implikasi Praktis : Penelitian ini dapat menjadi salah satu bahan pertimbangan bagi pihak manajemen layanan transportasi online untuk mengambil keputusan terkait pengembangan kualitas layanan, terutama dari aspek inovasi dan pemasaran yang berbasis pelanggan. Keterbatasan Penelitian : Keterbatasan pada penelitian ini adalah terbatas pada penggunaan neural network sebegai metode machine learning dan aspek konseptual inovasi dan pemasaran dalam menjelaskan penerimaan pengguna aplikasi. Kata kunci : Difusi Inovasi, Bauran Pemasaran, Penerimaan Teknologi, PLS-SEM, Neural Network

Research background:The research has two objectives and employs a serial mediation approach. First, using the general strain theory, it examines the mediating role of negative feel-ings and impact of economic adversity on people's risk tolerance and prudent financial behavior. The second is determining the various categories' variations according to age. Purpose of the article: The study's main objective is to evaluate financial behaviour of people with lower and medium incomes after the second wave of COVID-19 in India, and to contribute to the body of knowledge on general strain theory. Methods: The study examined the proposed framework and tested the serial mediation model based on the general strain theory used as a survey method for data collection, targeting lower and middle-income individuals in India's most populated state. The study applied PLS-SEM to test the framed hypotheses. Furthermore, the Kruskal Wallis test was applied to identify the difference in the various groups classified based on age. Findings & value added: The results reveal that economic hardship significantly influences improved financial behavior. Risk aversion attitude, loneliness, and depression mediate the relationship between economic hardship and financial behavior. Moreover, the study found quite a few significant differences between the different age groups. The present study will add to the existing literature on financial behavior under the scope of general strain theory and probably be among the few that test general strain theory with financial variables impact on lower and middle-income group individuals from a developing nation in post-COVID-19 period. © Instytut Badań Gospodarczych / Institute of Economic Research (Poland).

Many people are experiencing a lack of confidence in the security of their employment due to the COVID-19 pandemic, particularly employees in the tourism sector, which has caused adverse effects on their mental health. These adverse effects involve the management of stress, anxiety and depression, that may arise from the demands of the industry. However, few studies have explored how insecurity in the workplace and financial pressure from families affects mental health and can intervene in these relationships. In this study, the aim was to investigate job insecurity as an antecedent of employees’ mental health and family financial pressures as a moderator using a sample of 475 hotel and travel industry employees. The theoretical background of the study was built upon the theories of resource conservation and effort–reward imbalance. The participants completed an online survey that measured job insecurity, family financial pressure, depression, anxiety, and stress. The collected data were subjected to PLS-SEM data analysis. The findings of this study reveal that job insecurity had a significant influence on depression, anxiety, and stress among tourism employees, and family financial pressure worsened the negative consequences of job insecurity on mental health. This research highlights the significance of addressing the mental health of employees in the tourism sector after the COVID-19 pandemic, as well as the crucial role played by family financial pressures. The findings of this study highlight the importance of addressing job insecurity in the tourism industry and its impact on employees’ mental health. This could involve implementing policies and practices that enhance job security, such as providing more stable work schedules, better benefits packages, and greater opportunities for professional development. The results also underscore the need to take into account the role of family financial pressure in moderating the impact of job insecurity on mental health. Practitioners and policymakers in the tourism industry should consider ways to alleviate financial pressure on employees and their families, such as offering assistance programs, flexible work arrangements, and supportive company policies.

This study aims to explore air passengers’ relational behaviours in terms of advocacy and openness by considering the overall airport environment, perceived image, and memorable experience in the context of international airports. The data was gathered from 879 respondents who are experienced airport users. This study employs partial least squares structural equation modelling (PLS-SEM) to verify the validity and accuracy of the research model. The overall airport environment was established with the second-order formative construct of six dimensions, namely, information and layout, terminal ambience, security, passenger facilities, gate area, and leisure and entertainment. Findings enhance knowledge of the formation process of airport image and memorable travel experience and provide insights into tourism and airport literature, particularly from the perspectives of air passengers. This study also discusses practical implications.

BukuWarung has been known as a MSME’s bookkeeping application in Indonesia. As the features developed, there were disappointed responses from Playstore reviews, social media, and research interviews who complained about the usability aspect of this application, thus triggering the desire for users to stop using the application. This condition motivates the author to assess the impact level of usability in aspects of Effectiveness, Efficiency, and Satisfaction on user retention. This study used a partial least square–structural equation model method. The total of 248 user samples was obtained using simple random sampling and voluntary response techniques. The research uses CSUQ, as well as questions for user retention. For data testing used Ms. Excel and SmartPLS version 3.3.3. According to the measurement model, 7 of 22 all variables were deleted. This study proves that Effectiveness, Efficiency, and Satisfaction have a positive and significant effect of up to 74.8% on user retention. However, the size of influence and relative influence is weak on user retention. User retention indicators affected by usability are increasing purchases as tenure grows, customer referrals, and premium prices. The implication for BukuWarung is to conduct usability testing on each feature.

Supply Chain Performance is regarded as a crucial organizational performance indicators. Much effort has been made to enhance it. So, effective and efficient supply chains are recognized as a crucial strategic aspect for achieving several essential corporate objectives, such as improved customer service, enhanced efficiency, and enhanced competitiveness. Therefore, the objective of this study is to analyze the role of information technology on supply chain performance with information technology support as a mediator. The study has been designed based on a descriptive approach using a survey to collect data by questionnaire from Saudi logistics professionals. The potential respondents were members of Hyper Panda's top level of management and executive personnel who were familiar with the company's operations and supply chain procedures. There are 83 valid responses. The research result has several findings and outcomes that will inform future research. The study findings will shed light on choosing the most effective information technology with a significant influence on supply chain performance.

Using Partial Least Squares-Structural Equation Modeling with WarpPLS, this study examines the indirect effect of the relationship between learners' social media addiction and academic achievement in distance learning as mediated by academic procrastination. The study participants were 223 Filipino students at a secondary school in Cagayan, Philippines, who were chosen using convenience sampling. Sample sizes were calculated using the inverse square root and gamma-exponential methods. The findings indicated a positive and significant relationship between social media addiction and academic procrastination. There is also a negative and significant relationship between academic procrastination and learners' academic achievement. In terms of the indirect effects of the mediation model, the relationship between social media addiction and academic achievement is fully mediated by academic procrastination. This indicates that academic procrastination substantially impacts the strength of the correlation between social media addiction and academic achievement. The findings of the undertaking were discussed regarding their implications for institutions and future research.

After the merger of PT Pelindo, PT Pelindo Terminal Petikemas became one of the sub-holding companies in containers. In maintaining consistency with the implementation of Occupational Health and Safety (OHS) after the merger, PT Pelindo Terminal Petikemas needs to understand the importance of safety leadership, safety culture, safety behavior, and safety perfor­mance in the OHS program's success. The study aimed to determine the effect of safety leadership on safety culture and safety performance, the effect of safety culture and safety behavior on safety performance, and safety behavior to act as a mediation between safety leadership and safety performance, and safety culture on safety performance at PT Pelindo Terminal Petikemas. The samples of 130 employees are then analyzed using Structural Equation Modeling (SEM) with SmartPLS software. The results showed that safety leadership has a significant effect on safety culture and safety performance. Safety culture and safety behavior have a significant effect on safety performance. Safety behavior can mediate between safety culture and performance, while safety behavior cannot act as a mediation between safety leadership and performance. This research implies that PT Pelindo Terminal Petikemas's management can select several strong and trustworthy employees from each terminal who merge to lead initiatives regarding company safety and communicate with the central command.

Governments ensure majority of their revenues through taxes. If properly designed, taxation policies can be mechanisms of promoting sustainable economic development and inclusive economic growth. However, the main issue of government authorities remains achieving tax compliance among taxpayers. The question of noncompliance intersects different fields from public finance, law, ethics, and its complexity presents a challenge for the society in general. This study aims to examine the influence of chosen economic and psychological determinants on tax compliance. In order to identify the determinants of taxpayers’ behaviour, a total of 862 questionnaires were administered and collected directly from Croatian taxpayers. Partial least squares structural equation modelling (PLS-SEM) was applied to analyse the survey data. The results suggest that social norms and tax morale influence taxpayers’ compliance significantly. Overall, findings of this study contribute to the better understanding of tax compliance and its determinants in the context of a genuine paradigm shift in the field. This emphasizes the importance of including and exploring psychological determinants in tax compliance analysis.

During the coronavirus pandemic, buying and consumption patterns of US consumers shifted towards contactless buying. While the topic of online buying is well explored within the existing literature on this topic, purchasing fruit from a vending machine is still yet to be investigated. This exploratory study used quantitative data to examine the factors driving US consumers’ willingness to try, buy and pay a premium for fruit from vending machines. An online survey of 391 US consumers was conducted to fill this research gap between 7 July and 10 July 2022. This survey was distributed via Amazon Mechanical Turk, a crowdsourcing platform which is widely used for consumer research. Smart PLS 4 facilitated the Partial Least Squares Structural Equation Modeling (PLS-SEM) analysis, as this method well suited for testing exploratory models with complex relations between the latent variables. Results indicated that COVID-19 pandemic-related benefits, quality benefits, value-related benefits and experiential benefits were the most important predictors that determined willingness to try, buy and pay a price premium when purchasing fruit from a vending machine.

The positive effect of dance engagement on the psychological well-being of individuals has been consistently established based on previously conducted studies. On the other side, no evidence was found in the moderating and mediating role of motivation in the relationship between the two variables. As a solution, this study is focused on determining the moderating and mediating role of dance motivation to dance engagement and psychological well-being. This study has adopted three questionnaires, namely: Dance Motivation Questionnaire (DMQ), the Sports Engagement Scale (SPS), and Psychological Wellbeing Scale (PWS). Additionally, Partial Least-Squares Structural Equation Modelling (PLS-SEM) using SmartPLS4 was performed to analyze the data. Analysis based on factor loading, average variance extracted (AVE), Fornell-Larcker Criterion, Cross loading, and HTMT were performed to establish the reliability and validity of the questionnaires (convergent and discriminant). After surveying 117 students taking Bachelor of Performing Arts at City College of Angeles, dance engagement positively effects students’ psychological well-being, which is consistent based on previously conducted studies. On the other hand, motivation has no moderating and mediating role in the relationship between the two variables. The study highly suggests conducting a similar study to support or refute the claim of this investigation.

The purpose of this research is to study transaction costs and their antecedents, in relation to the willingness to buy groceries online in Italy, and to observe the effect of Covid-19 is having in those. The study used a positivist deductive approach to the theory development. To evaluate the relations, we developed a PLS-SEM using SmartPLS version 3.3.3, and tested the model using WarpPLS 7.0. The pandemic's discomforts impact significantly the willingness to buy food online, and it is also a mediator between transaction costs and willingness to buy online. The findings may help those manufacturers struggling with low-performing e-commerce during the Covid-19 pandemic. When restrictions are enforced, manufacturers should take action to reduce the uncertainty associated with online shopping. From the political point of view, it highlights the need for institutional help in organising online supply chains.

Purpose This study aims to explore the relationships among novelty, meaningfulness, hedonism and loyalty in the context of an astrotourism experience. Design/methodology/approach Data were collected using a convenience sample at an astrotourism event in Portugal. A self‐administered questionnaire was designed using established scales. In total, 296 usable responses were analyzed using partial least square (PLS)-structural equation modeling. Findings The result of the structural model shows that novelty and meaningfulness affect hedonism, which in turn influences loyalty. Novelty and meaningfulness contribute 62.8% to the variance in hedonism and 31.3% to the variability in loyalty. Originality/value This study deepens knowledge of the tourist behavior of astrotourists. Destinations and managers that develop astrotourism activities can also benefit from deeper knowledge about the emotional process of the astrotourism experience and its impact on behavioral loyalty.

Purpose: This study aims to measure the religio-spiritual insights of consumers during religious festivals and compare the results considering the stimuli of two advertisements, i.e., religious and irritating advertisements. When the religio-spiritual insights of the consumers are neglected in the designing of a TV advertisement for a religious festival, in particular, it can lead to irritation and affect the consumers’ attitude toward advertising. Based on the theory of reasoned action (TRA), the mediating effect of religio-spiritual insights was measured between consumers’ attitude toward advertising and independent variables (irritation, credibility, information, good for the economy, and entertainment). Originality/value: This study uses the newly developed instrument of religio-spiritual insights to measure their influence on consumers’ attitudes toward advertising and confirms the mediating effect of religio-spiritual insights between the consumers’ attitude and other constructs, such as credibility, entertainment, information, irritation, and good for the economy. Design/methodology/approach: Two hundred and fifty-five household consumers were selected using the non-probability convenience sampling techniques to collect the responses using the survey method. Each respondent was asked to fill out two questionnaires after watching the attached stimulus advertisement, i.e., one religious and one irritating advertisement. The partial least squares structural equation modeling (PLS-SEM) approach was used to test the hypothesis based on the bootstrapping test. Findings: The results show that religio-spiritual insights significantly mediate attitude toward advertising and other constructs when there was a religious advertisement that depicted religious cues, symbols, and visuals. Contrarily, a non-significant effect of irritation was identified on religio-spiritual insights when there was an irritating advertisement. Resumo Objetivo: Este estudo tem como objetivo mensurar os insights religioso-espirituais dos consumidores durante festas religiosas e comparar os resultados considerando os estímulos de duas propagandas: uma propaganda religiosa e uma irritante. Quando os insights religioso-espirituais dos consumidores são negligenciados na concepção de um anúncio de TV para um festival religioso, em particular, isso pode levar à irritação e afetar a atitude dos consumidores em relação à propaganda. Com base na teoria da ação racional (TAR), o efeito mediador dos insights religioso-espirituais foi medido entre a atitude em relação à propaganda e as variáveis independentes (irritação, credibilidade, informação, bom para a economia e entretenimento). Originalidade/valor: Este estudo usa o instrumento recém-desenvolvido de insights religioso-espirituais para medir sua influência na atitude em relação à propaganda e confirma o efeito mediador dos insights religioso-espiri-tuais entre a atitude dos consumidores e outros construtos, como credibilidade, entretenimento, informação, irritação e bom para a economia. Design/metodologia/abordagem: Duzentos e cinquenta e cinco consumidores domésticos foram selecionados usando a técnica de amostragem de conveniência não probabilística para coletar as respostas por meio do método de survey. Cada respondente preencheu dois questionários após assistir ao anúncio de estímulo em anexo, um anúncio religioso e um anúncio irritante. A abordagem de mínimos quadrados parciais – modelagem de equações estruturais (partial least squares – structural equation modeling [PLS-SEM]) – foi usada para testar as hipóteses com base no teste de bootstrapping. Resultados: Os resultados mostram que insights religioso-espirituais mediaram significativamente a relação entre a atitude em relação à propaganda e outros construtos quando havia um anúncio religioso que retratava sinais, símbolos e visuais religiosos. Contrariamente, um efeito não significativo de irritação foi identificado nos insights religioso-espirituais quando havia um anúncio irritante.

Purpose: The aim of this study is to investigate the impact of e-review on iGen's propensity to purchase online. Especially, it can be better understood by dissecting the relationship among 3 variables of e-review (review valence, quantity of e-review and quality of e-review), e-satisfaction, and intention to buy. Theoretical framework: This study classifies e-reviews according to their valence, quantity, and quality based on the study of Khammash (2008). Design/methodology/approach: The PLS-SEM method was used to analyze data collected from online surveys administered to a sample of 222 iGen in Ho Chi Minh City to assess the hypotheses behind the study. Additionally, the Artificial Neural Network technique was used to separate SEM predictors that were relatively important. Findings: There are three results from the investigation: It has been found that (1) e-satisfaction is positively affected by valence, (2) e-satisfaction is generally increased with the high quality of e-review, but the quantity of e-review does not necessarily affect customers' e-satisfaction, and (3) e-satisfaction given in the context of an e-commerce platform has a strong effect on customers' online shopping intention. This study sheds new light on iGen's online buying habits and offers valuable management implications for iGen, online merchants, and e-commerce sites. Research, Practical & Social implications: E-reviews have become a significant factor in determining consumers' online purchase decisions. They also assist iGen in understanding how a qualified e-review—one that is clear, understandable, helpful, and has enough justification to support the opinions—will be advantageous for other consumers who wish to shop online. Originality/value: Provides the theory of e-review and its role in the online business environment. In addition, understand more about the behavior of igen, an age with a huge amount of spending on an online shopping platform.

National Term Development Plan (RPJMN) 2015-2019 Based on gender considerations, one of the essential considerations in preparing Indonesia's development plan. The global indicator used to measure the achievement of gender findings is found in the Gender Development Index (IPG). The IPG East Java in 2020 is at the upper middle level, but the disparity in human development still occurs at the district/city level. That is why studying the variables that affect the GPA value is necessary. The method used is Partial Least Square-Structural Equation Modeling (PLS-SEM) with bootstrap parameter estimation. The secondary data were obtained from the Central Statistics Agency (BPS) of East Java and SAKERNAS 2020. The results of this study are that all dimensions of GPI, namely Economy, Health, and Education, have a positive and significant impact on GPI. In comparison, the influential but insignificant variables are AHH Male and AHH Female; RLS Male and RLS Female, AHLS Male and AHLS Female. The most significant contribution is RLS Female, and the smallest is AHLS Male

The banking sector has faced a variety of difficulties in the competitive business environment. The adoption of electronic means by banks is a requirement for them to meet these problems and keep customers satisfied. Through different electronic touch points, E-CRM aids in establishing and preserving mutually beneficial long-term connections with customers. This study aims to understand the effects of E-CRM on customer satisfaction, loyalty, and trust in the banking industry. Customers of banks using E-CRM services filled out questionnaires to help with this. Partial Least Squares Structural Equation Modeling (PLS-SEM) was utilized to evaluate the study model using the data that were collected through a survey. The first results revealed that E-CRM had strong effect on service quality, trust, and customer satisfaction while very week effect on customer loyalty. We performed an enhancement of the research model throw two phases, and the results proved that enhancing E-CRM systems positively affects customer satisfaction and loyalty when quality and trust are put as a mediator for them.

Dairy products such as cheese, butter, and yoghurt are popular staples in American households; however, alternative plant-based products are gaining increasing popularity. An online survey was conducted to investigate the factors that determine US consumers’ preferences for plant-based and regular milk-based products before and since the occurrence of food price inflation. The study used descriptive statistics and partial least square structural equation modelling for the analysis. The accessibility of plant-based substitutes, the perceived impact of food price inflation and associated consumer behaviour, engagement with food-related activities, and environmental concerns were important factors in both scenarios. Recommendations to marketers on how to target different consumer groups are offered.

Purpose: The aim of this study is to examine despite Covid-19 pandemic, several companies managed to grow their sales. This leads us to our research questions: what selling competencies make best salespeople post Covid-19 disruption? And, which of the sales competencies make to be most important toward their job performance? Theoretical framework: The B2B selling abilities post Covid-19 as the subject of this study has been little research by the academy and without a dominant theoretical framework, but rather a partial vision. This article contributes to integrating the scarce academic literature, which, as we demonstrate, is mainly empirical, with a theoretical domain. Design/methodology/approach: The use of established generic scales capturing each of the constructs of interest by surveying Key Account Managers in a B2B industry setting. Descriptive statistics, psychometric properties, pairwise correlations, and partial least squares structural equation modeling (PLS-SEM) where deployed. Findings: The results suggests that there is a positive direct effect of salesperson bricolage, adaptive selling, resiliency, salesperson' self-efficacy, and psychological flexibility with salesperson post-disruption performance. Lastly, a negative indirect effect is found between learning orientation, salesperson creativity, and salesperson grit. Research, Practical & Social implications: The study has focused on the proposal of what are the new sales competencies that B2B key account managers must develop to achieve a better sales performance, so managers must train and coach their B2B Key Account Managers (KAM) considering the new abilities needed (salesperson bricolage, adaptive selling, resiliency, salesperson' self-efficacy, and psychological flexibility) for sales success. Originality/value: The value of this study is a novel effort to understand what skills are needed to succeed in the post Covid-19 B2B selling environment.

How to expand an owner’s market demand for BIM and fundamentally mobilize an owner’s application enthusiasm is of great significance to the high-quality development and effective promotion of BIM. Taking the Theory of Planned Behavior (TPB) as the basic framework and integrating the Technology Acceptance Model (TAM), we build a theoretical model of an owner’s adoption behavior mechanism for BIM technology. The theoretical model is tested by the partial least squares structural equation model (PLS-SEM). The research results show that the perceived usefulness of BIM technology by an owner is the most significant factor that affects the owner’s behavioral intention to apply BIM technology. The influence of attitude on behavioral intention is very weak and not significant. Subjective norms can significantly and positively affect an owner’s adoption intention. The perceived ease of use has a positive impact on the adoption intention of BIM technology, but its role is very limited. The adoption intention of an owner can positively affect adoption behavior and has a direct driving effect. The research results can improve the relevant research on BIM, encourage an owner to actively participate in the development process of BIM, and further promote the comprehensive promotion and application of BIM.

The wide adoption of social media platforms has altered how people communicate, obtain information, and participate in society. Regarding political participation, social media has emerged as a novel venue for people to voice their opinions, connect with others who share their viewpoints, and engage in activism. As a result, knowing the effect of social media on political participation is critical, particularly in developing nations like Jordan. This research investigates the moderating effect of certain factors on the impact of social media on political involvement among Jordanian youth. The Partial Least Squares Structural Equation Modelling (PLS-SEM) approach is used to analyze data from a survey of 334 young people. The findings show that social media has a favorable and considerable impact on political participation. Gender was also discovered to have a strong moderating effect on the relationship between social media use and political participation. According to the analysis, gender positively moderates the effect of the frequency of social media use on political participation, while gender negatively moderates the effect of the purpose of social media usage on political participation. The study sheds light on the significance of social media in young people’s political participation in Jordan, emphasizing the need of taking differences in gender into account when developing effective tactics to engage young people in the political processes.

Soil is a highly significant resource for human survival, and agglomerates, as the basic unit of the soil structure, not only enhance the soil fertility and control the biological validity of nutrients but also strengthen the soil’s erosion resistance. The mass application of fertilizers may significantly affect crop growth and the soil structure, and the rational application and dispensing of fertilizers will be an urgent issue to be addressed. Therefore, the effect of fertilizer application on the stability of water-stable soil aggregates needs to be studied under different meteorological and soil conditions to draw more general and feasible conclusions. Our meta-analysis of data from 220 independent observations from 56 published studies found that fertilizer application increased the mean weight diameter (MWD) by an average of 18% compared to the no-fertilizer treatment. Among the nitrogen (N), phosphate (P), and organic (OM) fertilizer treatments, the organic fertilizer treatment had a more significant stimulatory effect on the MWD (26%). Among the different fertilizer levels, a low level of phosphorus (120 kg·ha−1·yr−1), and a low level of organic fertilizer (

Purpose: This study analyzed the mediating effect of organizational memory on the relationship between social media and hotel reputation in Jordan. Theoretical framework: The study employed the theory of organizational memory to clarify the mediating effect of organizational memory on social media and hotel reputation. It is a theoretical construct that explains how knowledge production, preservation, distribution, and application occur across time in an organization and how the cumulative impact affects the organization's current as well as its planned actions and decisions. Design/methodology/approach: The study surveyed 600 participants from hotels in Amman. They were selected randomly according to Westland’s sampling criteria. They were asked to rate their responses on a seven-point Likert scale. Moreover, the (PLS-SEM) is adopted in this research to analyze the collected data. Findings: The result reflected that the social media significantly influences hotel reputation in Jordan. Besides, social media positively impacts organizational memory and organizational memory positively impacts hotel reputation. It is also noted that organizational memory partially affects the relationship between social media and hotel reputation in Jordan. Research, Practical & Social implications: The results of this study will be a policy recommendation between the department of human resources, regulators, researchers and policy makers. Originality/value: This is the first research in Jordan to address the mediating effect of organizational memory on the relationship between social media and hotel reputation.

Paper aims This study has the objective of mapping and empirically validating KPIs that can be used to assess healthcare supply chain risks. Originality We combined two methodological approaches: i) we conducted a systematic literature review to identify the healthcare supply chain risk assessment KPIs and ii) We grouped these KPIs into five constructs and validated their relations using PLS-SEM. Research method This is the only study that presents a systematic literature review to identify KPIs that measure healthcare supply chain risks, groups the KPIs into a theoretical framework, and presents a PLS-SEM validation. This study used data from Brazil, from a variety of healthcare supply chain organizations (suppliers, OEMs, clinics, and hospitals), therefore we cannot guarantee that the study can be generalized. Main findings The systematic literature review identified 27 KPIs which were grouped into five constructs. The structural model supported by the PLS-SEM technique revealed that reliability, responsiveness, costs, and agility are antecedents to healthcare supply chain quality. Implications for theory and practice Managers may rely upon this study to understand that healthcare supply chain reliability and responsiveness are antecedents to healthcare supply chain costs and agility, which are antecedents to healthcare supply chain quality.

The COVID-19 pandemic recently swept the globe, and quarantine sadly compelled most businesses and employees to adapt to the sudden change. Because of this, the employee may face psychological risks like a change in lifestyle, tiredness, burnout, and a drop in job satisfaction. Establishing how each aspect is associated with the job satisfaction of supply chain workers in the Philippines is the main topic of this study. Purposive sampling via an online survey is the non-probability sample method used in this investigation. The target respondents are the logistics company’s employees. Google Forms were used to deliver the self-administered online survey questionnaire. The SEM model was assessed using the hypothesis test’s beta coefficient and R2 findings. The model was proven sufficient to explain or forecast the employee’s loyalty to the organization, stress at work, and job satisfaction. Results of the study revealed that organizational commitment (β = 0.716; p-value < 0.001) had the highest positive association with workers’ job satisfaction, while work stress proved to have a negative association with job satisfaction (β = −0.166; p-value = 0.039). Similarly, job characteristics (β = 0.684; p-value < 0.001) and job involvement (β = 0.189; p-value = 0.009) were also proved to have a strong positive association with organizational commitment, which in turn influences job satisfaction. Finally, lifestyle behavior was found to have a positive association with work stress (β = 0.467; p-value < 0.001) and job burnout (β = 0.369; p-value = 0.001), negatively influencing job satisfaction. As a result, this study can offer supply-chain company personnel more information on the effect of organization commitment, lifestyle behavior, work stress, and job burnout on job satisfaction, which is a key component of job sustainability. Companies must ensure that employees are treated well and meet their demands to promote a sustainable workplace.

This research aims to identify improvements for the Integrated System for Academic Activity Management (SIGAA) based on the main factors that affect user satisfaction with academic information systems. The study presents the structural equations model and importance-performance analysis as a basis for improving system requirements. this research is exploratory and quantitative through the modeling of structural equations. A questionnaire was used to collect data, and the total sample size was 153 people. The results revealed that the most important variables to explain user satisfaction were information quality (30.33%), system quality (21.77%), and perceived benefits (21.61%). Thus, user satisfaction was explained 72.5% by the proposed structural model. The results achieved help improve the university information system. The importance of performance analysis pointed out indicated the priority of actions to be taken, and the mapping of processes presented possibilities of increasing requirements to increase the satisfaction of the system's users.

Video games have become a ubiquitous form of entertainment and have been enjoyed by people of all ages around the world. The gaming industry has evolved rapidly, with new games being released every year that push the boundaries of technology and creativity. To ensure that video games are not just technically advanced, but also enjoyable and engaging, measuring the gaming experience is essential because it helps game designers understand how players interact with the game and identify areas for its improvement. The objective of this paper is to examine an interplay of gaming experience dimensions in the context of platform video games and to determine the extent to which they contribute to players’ behavioral intentions. To fulfil this objective, an empirical study was undertaken, involving participants with diverse gaming backgrounds. They were requested to engage in the gameplay of the Stranded Away platformer game and subsequently respond to a post-use questionnaire. The psychometric features of the introduced conceptual model were evaluated with the partial least squares structural equation modeling (PLS-SEM) method. The reported findings demonstrate the importance of evaluating different facets of the gaming experience in video games and showcase the potential of the proposed model and measuring instrument as tools for game designers to enhance the overall quality of their products.

Purpose − the purpose of this study is the determinants of factors influencing to the intention in Islamic Peer to Peer (P2P) financing platform. Methodology − Quantitateve approach with distributing questionnare accross Islamic P2P financing platforms consisting of ethis.co.id, ammana.id, alamisharia.id, danasyariah.id and qazwa.id employed. 121 usable sample is analsyed with using PLS-SEM and Smart PLS 3.2 opreated as analysis tools.Findings − The results show that normative influence affects positively and significantly the subjective norm. In terms of attitude control, only perceived uselfulness has insiginificant influence on attitude. Moreover, self-efficacy and facilitating condition has a positive and significant impact on perceived behaviour control. Attitude and perceived berhaviour control affect intention to participate. However, subjective norm has insignificant impact on intention to participate in P2P financing platform.Implications − The study suggests that islamic P2P should focus on relative advantage and perceived ease of use, perceived behavioral control in order to maintain their customers.Originality − Decomposed Theory of Planned Behavior model (DTPB) used in the study as the first study in Islamic P2P lending in Indonesia

This study examined the willingness-to-pay (WTP) of consumers and the determinants of eco-labeling for the organic cocoa powder produced in the Dong Nai UNESCO Biosphere Reserve (DNBR), Southern Vietnam. Eco-labels are designed according to the tiers of eco-labeling for biosphere reserves (BR) introduced by UNESCO; they include BR Destination (Tier 1), BR Quality (Tier 2), and Professional Certification (Tier 3) labels. Questionnaires were delivered to 203 customers in the DNBR and nearby places, such as Dong Nai and HCMC. This study employed a hybrid approach using descriptive statistics, an ANOVA test, and a Partial Least Squares Structural Equation Model (PLS-SEM). The results indicate that gender and educational level have a positive effect on consumers’ preferences. Customers are willing to pay more for cocoa powder with an eco-label than one with an organic label. Perceived food safety and product knowledge lower customers’ WTP, whereas agricultural environment and pricing concerns increase it. Tier 2 is suggested for labeling cocoa powder in the DNBR. The DNBR Management Board, together with the federal and provincial governments, should all follow a similar certification process. Increased eco-label awareness is crucial for the future of environmentally responsible shopping and responsible business practices.

The platform economy has emerged as a transformative force in various industries, reshaping consumer behavior and the way businesses operate in the digital age. Understanding the factors that influence the adoption of these platforms is essential for their continued development and widespread use. This study examines the determinants of economic platform adoption in Tunisia by extending the widely used unified theory of acceptance and use of technology 2 (UTAUT2) model with a privacy calculus model. By applying the partial least squares structural equation modeling (PLS-SEM) technique, the research provides significant insight. The results highlight the critical influence of factors such as performance expectancy, habit formation, trust in technology, perceived risk, privacy concerns, and price value on users’ behavioral intentions and actual usage of the platforms. These findings provide a deeper understanding of the dynamics surrounding the adoption of the platform economy in developing countries and offer valuable insight for stakeholders. By leveraging this knowledge, stakeholders can foster an inclusive digital ecosystem, drive economic growth, and create an environment conducive to the widespread adoption and use of the platform economy in developing countries.

Since the COVID-19 pandemic, the world has experienced a shift in education, forcing students to transition from traditional face-to-face classes to distance learning. Students found these adjustments challenging, thus affecting their academic performance. In order to address this issue, this study sought to identify the factors affecting students’ learning motivation and academic attention in distance learning using a novel framework of ergonomic domains. Using purposive sampling, 311 senior high school students who took part in online learning at selected schools in NCR Plus answered an online survey. Partial least square structural equation modeling (PLS-SEM) was utilized to investigate and assess the physical, cognitive, and macro-ergonomic factors influencing their learning motivation and academic attention. The study’s results revealed that cognitive and macro-ergonomic factors significantly influence students’ learning motivation, affecting students’ academic attention, while the physical ergonomic factors were found to be insignificant. The findings and analysis imply that academic professionals should be aware of and apply physical, cognitive, and macro-ergonomic concepts to positively influence students’ learning in an online setup. Furthermore, intrinsic motivation should be the main driving force behind learning because it is more successful and beneficial in the long term. The study concludes that as online learning has become more prevalent than ever, it is imperative that ergonomic factors are considered to establish an effective online education system and improve students’ learning motivation and academic attention in distance learning.

Objectives: Observe the development of the application of Partial Least Squares Structural Equation Modelling (PLS-SEM), and why it is suitable for theory development in tourism research, their main expositors both in terms of authors and countries, as well as the relationships between them and the keywords used. Methods: This study empirically examines the PLS method in tourism research published between 2000 and 2020 in the Web of Science (WoS) databases, using the terms "PLS" and "tourism". Bibliometric review software Rstudio was used, applying the "Bibliometrix" and "Biblioshiny" packages. Results: It shows the increase in publications in recent years, being in 2014 when the exponential increase begins, the country with the highest production of scientific articles is Spain, while the most prolific university is the University Sains of Malaysia, as well as the classification of authors by the various indexes or by their production over time, also has the relationships that exist between keywords, authors and universities, to conclude with a heat map of research worldwide Conclusion: The main conclusions of the present study are that there is a clear increase in the use of the PLS-SEM technique in tourism research, where Spain is the country that publishes the most on the subject, not having journals specialised in this topic, and where the main authors and the different classification indices for them are shown., Objetivos: Observar el desarrollo de la aplicación de la Modelización de Ecuaciones Estructurales por Mínimos Cuadrados Parciales (PLS-SEM), y por qué es adecuada para el desarrollo de teorías en la investigación turística, sus principales expositores tanto en autores como en países, así como las relaciones entre ellos y las palabras clave utilizadas. Métodos: Este estudio examina empíricamente el método PLS en investigaciones sobre turismo publicadas entre 2000 y 2020 en las bases de datos Web of Science (WoS), utilizando los términos "PLS" y "tourism". Se utilizó el software de revisión bibliométrica Rstudio, aplicando los paquetes "Bibliometrix" y "Biblioshiny". Resultados: Se muestra el aumento de las publicaciones en los últimos años, siendo en 2014 cuando comienza el aumento exponencial, el país con mayor producción de artículos científicos es España, mientras que la universidad más prolífica es la Universidad Sains de Malasia, así como la clasificación de los autores por los distintos índices o por su producción a lo largo del tiempo, también se cuenta con las relaciones que existen entre palabras clave, autores y universidades, para concluir con un mapa de calor de la investigación a nivel mundialConclusiones: Las principales conclusiones del presente estudio son que existe un claro incremento en el uso de la técnica PLS-SEM en la investigación turística, donde España es el país que más publica sobre el tema, no disponiendo de revistas especializadas en este tema, y donde se muestran los principales autores y los diferentes índices de clasificación de los mismos., Objectivos: Observar o desenvolvimento da aplicação de Partial Least Squares Structural Equation Modelling (PLS-SEM), e porque é adequado para o desenvolvimento teórico na investigação turística, os seus principais expositores tanto em termos de autores como de países, bem como as relações entre eles e as palavras-chave utilizadas. Métodos: Este estudo examina empiricamente o método PLS na investigação em turismo publicado entre 2000 e 2020 nas bases de dados da Web of Science (WoS), utilizando os termos "PLS" e "turismo". Foi utilizado o software de revisão bibliométrica Rstudio, aplicando os pacotes "Bibliometrix" e "Biblioshiny". Resultados: Mostra o aumento de publicações nos últimos anos, sendo em 2014 quando começa o aumento exponencial, o país com maior produção de artigos científicos é a Espanha, enquanto a universidade mais prolífica é a Universidade Sains da Malásia, bem como a classificação dos autores pelos vários índices ou pela sua produção ao longo do tempo, também tem as relações que existem entre palavras-chave, autores e universidades, para concluir com um mapa térmico de investigação a nível mundialConclusão: As principais conclusões do presente estudo são que há um claro aumento na utilização da técnica PLS-SEM na investigação turística, onde a Espanha é o país que mais publica sobre o tema, não dispondo de revistas especializadas neste tema, e onde são mostrados os principais autores e os diferentes índices de classificação para eles.

As a result of the changes in lifestyles, consumption habits, and consumer expectations in recent years, individuals prefer to buy experiences instead of just purchasing products and services. The basics of the economy accept consumption as an experience process and experiential marketing is gradually increasing its importance in our lives. The focus of experiential marketing is the idea that there is a hedonistic and experiential value surrounding the product and service, and even consumption itself, as well as the functional and utilitarian value that emerges with the purchase of a product or service. Today, with the widespread use of the internet and the development of information technologies, virtual experiential marketing has emerged. In this context, the aim of the research is to examine the effect of virtual experiential marketing on e-store image and e-store loyalty. Within the scope of the research, data were collected from 531 people using the online survey technique. Confirmatory Factor Analysis and Path Analysis were applied to the data with Partial Least Squares Structural Equation Modelling. According to the Confirmatory Factor Analysis results, the scale was found to be valid and reliable. According to the path analysis results, it was concluded that all of the virtual experiential marketing dimensions have a significant effect on the e-store image and that these dimensions positively and significantly affect the e-store loyalty through the e-store image. It was determined that e-shop image has an effect on e-shop loyalty.

This article explores how college students adopt video conferencing software for distance education. This research aims to examine the factors that influence the spread of video conferencing programs in Indonesia. A video conferencing application is a multimedia program that generates audio and visual content to facilitate real-time, two-way communication between its users. Because of COVID-19, classes of all kinds are now being taken online. As a result, more people are turning to tools like video conferencing. Therefore, learning how to access student video conferencing software is crucial. The UTAUT 2 and Delone & McLean models will be integrated into the analysis. A total of 327 people answered the survey. Next, we used the PLS-SEM technique in smart pls 3.0 to analyze the data collected from the respondents. The R-Square value of 26.2% for the retention intent variable and 62.3% for the user satisfaction variable demonstrate that independent variables in the study can explain endogenous variables and that the remaining variance is influenced by factors external to the survey.

Small- and medium-sized enterprises (SMEs) can benefit from internationalization. However, there is little evidence of the extent of the benefit and its dependence on both research and development (R&D) intensity and collaborative intensity. Drawing on data of 262 SMEs, this study illuminates why some SMEs benefit more from internationalization than others, thereby illustrating an advanced application of partial least squares structural equation modeling by demonstrating conditional mediation analysis with two interdependent exogenous moderators (i.e., testing a second-stage three-way conditional mediation). Our findings substantiate that an SME’s dynamic capabilities affect its degree of internationalization and indirectly its growth, and suggest a positive marginal growth impact of internationalization provided that an SME’s R&D and collaborative intensities are proportional; when they are disproportional (i.e., one is “greater” than the other), SMEs do not experience positive marginal growth.

Purpose – The purpose of this study was to determine the extent of the impact of Covid-19 on the macroeconomic indicators and financial performance of Islamic banks in Indonesia. The results of this study may serve as a reference for the Indonesian government and Islamic banks’ stakeholders in formulating strategic decisions in creating innovative solutions during the Covid-19 pandemic.Methodology – Quantitative research method with 2 approaches, namely Partial Least Square-Structural Equation Modeling (PLS-SEM) and Artificial Neural Networks (ANN) was selected for this study.Findings – This study demonstrated that macroeconomic indicators were significantly affected by the Covid-19 pandemic. However, the results of the ANN and PLS-SEM models varied. The PLS-SEM model illustrated the impact of the Covid-19 pandemic affecting the performance of Islamic banking, while the ANN model did not.Implication – This research has implications for stakeholders, especially the government to maintain macroeconomic stability, while for Islamic banking management to focus more on product innovation and service excellence so that it can be closer to the public, especially Muslims community.Originality – Numerous studies examining macroeconomics and the financial performance of Islamic banking have been conducted. This study aimed to offer an alternative perspective by using two models, namely PLS-SEM and ANN.

[EN] E-sports games can drive the sports industry forward and sponsorship is the best way to engage consumers of this new sport. The purpose of this study is to examine the effect of sponsorship image and consumer participation in co-creation consumption activities on fans’ sponsorship response (represented by the variables interest, purchase intention and word of mouth) in e-sports. Four antecedent variables build sponsorship image (i.e., ubiquity of sport, sincerity of sponsor, attitude to sponsor and team identification). A quantitative approach is used for the purposes of this study. Some 445 questionnaires were filled in by fans who watch e-sports in Spain; these are analyzed using partial least squares structural equation modeling (PLS-SEM). The outcomes show that sponsor antecedents are crucial factors if a sponsor wants to change their sponsorship image and influence sponsorship response, and that it is also possible to use participation to improve responses SI

Moodle is an open-source learning management system that is widely used today, especially in higher education settings. Although its technological acceptance by undergraduate students has been extensively studied in the past, very little is known about its acceptance by university professors. In particular, as far as we know, the literature contains no previous experiences related to South American teachers. This paper aims to bridge this gap by quantifying and analyzing the drivers of Moodle’s technological acceptance among Ecuadorian academic staff. Considering the responses of 538 teachers and taking a modified UTAUT2 model as a theoretical basis, we found that Ecuadorian teachers have high levels of acceptance of Moodle, regardless of their age, gender, ethnicity, or discipline. However, this acceptance is significantly higher in teachers with high levels of education and with considerable previous experience with e-learning systems. The main determinants of this acceptance are attitude strength, effort expectancy, performance expectancy, and facilitating conditions. We found no moderating effects in relation to the age, gender, or previous experience of the participants (including second- and third-order interactions derived from these variables). We conclude that, albeit moderately (e.g., adjusted R2=0.588), the model tested confirms the predictive power of the part of UTAUT2 that was inherited from UTAUT.

The emergence of the number of skincare cosmetic retailers in Salatiga, Central Java, is one of the factors in which the percentage of women who are aware of the importance of skin health is increasing, especially since the causes of skin problems are currently various. It makes one of the retailers in Salatiga, namely G&G skin care cosmetics store, need to strengthen relationships with their customers to survive and achieve business excellence amid a competitive skincare market. This research was lifted from the curiosity of researchers regarding the significant influence of brand experience on the intention to buy products through G&G stores by using brand involvement as mediation. Data collection was carried out by distributing questionnaires to 100 respondents who had made purchases at G&G cosmetics retail at least once. The sample used in this research is judgmental sampling. The structural Equation Modeling (SEM) method with Partial Least Square (PLS) was applied in this study. Then, the result of this study shows that brand experience has a significant effect on the intention to buy a product, with the three indicators of brand involvement as mediation. Moreover, the results also show that G&G retail skincare brands need to increase their activation in brand engagement to attract and maintain relationships with their consumers in the long term.

The COVID-19 pandemic has led to widespread changes in the way that people work, including an increase in remote work and changes in group dynamics. Social loafing, the phenomenon of reduced individual effort in group settings, has been widely studied in the literature. However, less is known about the potential impacts of social loafing on mental health and turnover intention in this relationship. In this study, we hypothesized that social loafing would be related to turnover intention and that mental health would mediate this relationship. To test these hypotheses, we conducted a cross-sectional survey of 700 full-time tourism employees in Egypt. The obtained data were analyzed by Partial least squares structural equation modeling (PLS-SEM). Our results indicated that social loafing was significantly related to turnover intention and negative mental health consequences significantly mediated this relationship. The results showed that stress (as a dimension of mental health) experienced by employees may act as a mediator between social loafing and turnover intention. On the other hand, depression and anxiety were not observed to have a similar mediating effect. This implies that stress could play a vital role in the decision-making process of employees who are contemplating leaving their job due to social loafing. These findings suggest that interventions aimed at reducing social loafing may have the added benefit of improving mental health and decreasing turnover intention in the workplace.

The aim of this research has enabled us to establish the influential relationship between factors associated with e-learning, such as individual impact and depression, and the mediating role in psychological distress and computer anxiety related to the fear of failing an academic year in times of COVID-19 in university students at two universities in the Arequipa region of Peru. The methodology used was developed in two stages; in the first stage, an Exploratory Factor Analysis (EFA) was performed, which enabled us to compare the initial results from the theoretical matrix proposed with the observed matrix; in the following stage, a Confirmatory Factor Analysis (CFA) was performed, as an analytic condition for the factors and to determine the robustness of the proposed model. For this purpose, the Structural Equation Modeling (PLS-SEM) was used, based on partial minimum squares. The sample for the study was made up by 252 students. It is concluded that there are significant influential relationships among the variables observed, such as the individual impact of e-learning, depression, mediated by psychological distress and anxiety for fear of failing the academic year.

This data article focuses on a complex path model to explain and predict the relationships between dimensions of corporate reputation, relational trust as well as customer satisfaction and loyalty. The sample was collected in Germany in 2020 with German bank customers above the age of 18 via an official market research institute located in Cologne, Germany (Respondi). The German bank customer data were collected using an online survey that was programmed using the software SurveyMonkey. The subsample described in this data article comprises 675 valid responses and the data analysis was performed applying the SmartPLS 3 software. Förderverein Industrielles Management (FIM) e.V.

The shift towards sustainable and digital practices in organizations is transforming employees’ mindsets and work performance. The digital transformation in academia is leading to meaningful changes in the behaviors and responsibilities of non-academic employees within organizations toward sustainable and responsible practices. By expounding insights into these views through social exchange theory (SET), this study aims to examine the key predictors of employee engagement (EE); namely, knowledge sharing (KS), employee mobility (EM), training and development (TD), and psychological empowerment (PE) in a digital workplace scenario. A quantitative survey based on convenience sampling was conducted to validate the research framework through partial least squares structural equation modelling (PLS-SEM). Accordingly, 205 responses were collected from the non-academic staff of universities in Klang Valley, Malaysia. Data analysis results showed that all hypotheses were significantly accepted. The impact of the model variables on employee engagement in digital transformation was found to be 75%, with employee mobility and knowledge sharing being the most prominent factors. Multigroup analysis (MGA) and importance-performance map analysis (IPMA) were additional analytical tools applied to reinforce the survey findings further and provide more comprehensive insights into employee engagement across different departments within the organization. The findings also showed the robustness of social exchange theory in digital business practices. This research offers novel and innovative perspectives on the impact of various factors (KS, EM, TD, PE) on employee engagement during digital transformation and how they mold employee behavior toward driving productive and responsible outcomes.

Energy converter innovation has shifted the world’s cooking energy from wood, coal, kerosene, and liquid petroleum gas (LPG) to electricity. This paper identifies the factors influencing customers’ intention to switch their cooking energy from LPG to electricity. The study proposes a conversion intention (COIN) framework with urban convenience and perceived alternative value (PAV) as predictor variables and examines the mooring effect of conversion cost to COIN. The data were gathered by a cross-sectional survey, and the PLS-SEM approach was applied to 194 LPG users in Jakarta, Indonesia. The results reveal that PAV mainly determines cooking energy conversion and partially mediates the relationship between urban convenience and COIN. Conversion cost indicates no significant moderating effect of PAV on COIN. By conducting this study, we contribute to the literature by integrating the theory of consumption value (TCV) with the value-based adoption model (VAM), generating the indicators of urban convenience based on time-oriented advertisement categories and applying the consumption values of the TCV as the dimensions of PAV on the VAM framework. The findings of the paper provide a more in-depth understanding of customers’ motivations when switching from LPG to electric power, particularly for household cooking energy, as well as opportunities for the government and electronic manufacturers to promote more sustainable energy consumption patterns.

In the current competitive context, innovation has become a necessity, to the point that it seems that no company can survive without developing innovation processes. One of the great concerns of small and medium-sized companies is about the investment of resources in innovation activities and their success. Therefore, this article analyzes the influence of different innovation activities performed by small and medium-sized enterprises (SMEs) of the Colombian Caribbean region on their product innovation outcomes and thereby provides a solid groundwork for the design of innovation strategies. To achieve this objective, a data collection instrument was first validated in 56 SMEs, followed by the application of a reflective measurement model with convergent validity analysis. The results of the model application revealed that investment in Research and Development (R&D) and innovation, knowledge transfer, technology adoption, and financial aspects explain to a greater extent the introduction of new products to the market.

This data article is based on the International Social Survey Programme (ISSP) Environment III Dataset and linked to a publication in Ecological Economics, in which we developed a model for explaining and predicting sustainable consumption behavior of Europeans using data of nine participating countries. In our study, we find that sustainable consumption behavior can be associated with environmental concern, which is influenced by increased levels of environmental knowledge and environmental risk perception. In this companion data article, we describe the usefulness, value, and relevance of the open ISSP dataset and take our linked article as an example. The data are publicly available via the GESIS-website (gesis.org). The dataset consists of individual-based interviews on the respondents’ perceptions regarding a variety of social matters, such as the environment, which we argue is especially suitable for PLS-SEM applications (for example, to conduct cross-sectional analyses).

The Philippines is considered one of the most vulnerable and susceptible countries to the effects of natural disasters due to its location. Therefore, the country needs to be resilient to the natural calamities it faces yearly. The research aimed to determine the factors that affect the protective behavior of Filipinos during natural disasters by integrating protective motivation theory, the theory of planned behaviors, and ergonomic appraisals, and by adding variables such as knowledge and geographical perspectives. PLS-SEM was used to determine the significant factors that affect protective behavior. A questionnaire was developed and distributed to 302 Filipinos in the Philippines through a digital survey using Google forms. The analysis showed that the intention to prepare is the most significant factor affecting their protective behavior, followed by macro and physical ergonomics. Aside from this, attitudes, perceived severity, self-efficacy, response efficacy, response cost, and subjective norms were found to influence their intention to prepare significantly. Furthermore, understanding natural calamities significantly influences an individual’s perceived severity. However, the geographical perspective, perceived vulnerability, perceived behavioral control, and cognitive ergonomics were found to have an insignificant influence on protective behavior for natural calamities. The study findings could be used as a basis for household units or the national government to build disaster management plans and resilience programs. Aside from this, it can also be used by researchers as a basis for exploring other areas that may affect the protective behavior of individuals to prepare for natural calamities worldwide.

The goal of this study is to examine and identify the factors influencing customer attitude toward and intention to use digital wallets (electronic wallets, e-wallets) during and after the COVID-19 pandemic. A total of 257 correctly fulfilled questionnaires from an online survey were summarized. The main features of e-wallet payment systems were classified with a focus on consumer satisfaction via the integration of classic and modern data analysis methods. Structural Equation Modeling (SEM) was preferred to reveal the dependencies between the variables from e-wallets users’ perspective. The designed model can discover and explain the underlying relationships that determine the e-wallets’ adoption mechanism. The obtained results lead to specific recommendations to stakeholders in the value chain of payment processing. Financial regulatory authorities could employ the presented results in planning the development of payment systems. E-commerce marketers could utilize the proposed methodology to assess, compare and select an alternative way for order payment. E-wallet service providers could establish a reliable multi-criteria system for the evaluation of digital wallet adoption. Being aware of the most important components of e-wallets value, managers can more effectively run and control payment platforms, enhance customer experience, and thus improve the company’s competitiveness. As the perceived value of customer satisfaction is subjective and dynamic, measurements and data analysis should be conducted periodically.