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The primary objective of this research is to analyze the current business situation of Esteh Indonesia's Franchise Model, identify factors affecting its sustainability, and develop a new business strategy for sustainable growth. The conceptual framework is based on Rothaermel's AFI Framework, incorporating a comprehensive analysis of the 7P Marketing Mix, industry analysis using PESTEL and Porter’s Five Forces, and core competency evaluation through the VRIO framework. The literature review highlights key theoretical foundations, including franchising strategies, critical success factors, franchising relationship models, and the concept of Blitzscaling. The research method utilized a mixed-method approach, collecting qualitative data through one-on-one in-depth interviews with ten franchisees selected via convenience sampling revealed operational and market challenges and quantitative data through an online questionnaire administered to 200 customers. provided insights into purchasing behavior and brand perception. The qualitative data was analyzed using thematic content analysis to identify patterns and insights, while the quantitative data was analyzed using descriptive statistical analysis and Likert scales to measure customer perceptions and behaviors. To achieve sustainable growth, Esteh Indonesia should adopt a multifaceted strategy leveraging strengths, addressing weaknesses, capitalizing on opportunities, and mitigating threats. Focusing on a differentiation strategy based on the Porter’s Generic Strategy, emphasizing market penetration and product development based on the Ansoff Matrix, and utilizing the BCG Growth-Share Matrix to identify and replicate high-performing outlets, providing enhanced franchisee support, and upgrading to the 'Esteh 2.0' model will boost sales and brand equity, driving sustainable growth and solidifying Esteh Indonesia's market leadership. [ABSTRACT FROM AUTHOR]

Bus rapid transit systems (BRT) have been an indispensable public transportation pillar, especially in densely populated regions. Accurate insight into the BRT network's utilization is vital in BRT resource allocation planning contexts. This research focuses on how operators can utilize passengers' smart card data to develop origin-destination (OD) matrix-based business analytics. This research proposes a hybrid approach combining trip chaining, direct pairing, mode estimation methods, and visual analytics development. The novel approach is robust in handling incomplete smart card data transactions to generate origin-destination matrices and corresponding visual analytics as decision support systems for the BRT operators. As a case study, we applied and validated the proposed analytics to more than 20.6 million smart card transactions in one of the largest global BRT systems in Jakarta, Indonesia. [ABSTRACT FROM AUTHOR]

Capital markets are essential for a country's development. However, the effort to develop a sustainable capital market may be challenged by many uncertainties, such as pandemics, politics, and investor behavior. This study aims to unveil the future of Indonesia's capital market and provide implications and options for stakeholders to develop a best-practice capital market. The scenario personarrative method, including cluster analysis, is used in this research as it can complement each other by signifying options to different types of investors. Data were gathered from interviews with 25 experts and a questionnaire survey of 438 respondents. With an analysis emphasizing the government's political direction and regulator ability, four transformative scenarios were constructed: (1) thin bull in the pastureland, (2) facing Torero in the bullring, (3) train the circus bull, and (4) world-champion bull. Eight personas were described, each with unique characteristics. Finally, 32 behavioral narratives were constructed based on the four scenarios and eight personas with the options provided. These results benefit stakeholders when deciding on acting in Indonesia's capital market. It is recommended that stakeholders carefully consider ensuring that Indonesia's capital market can achieve the world champion bull scenario in 2030. [ABSTRACT FROM AUTHOR]

This study aims to address the gap in the literature by examining the internal factors affecting the implementation of maturity rating policies in Indonesian healthcare settings. This study employs a multimethod-qualitative approach in line with the adopted philosophy, enabling researchers to capture dynamic and contextual elements of organisational actual settings. This research draws several conclusions that are relevant to the implementation of business maturity policies, especially in the context of health care institutions in Indonesia. First, the implementation of the Maturity Rating policy has a significant impact on organizational governance, covering aspects of People, Process, and Technology. Benefits include managerial improvements, operational efficiency, compliance with legal requirements, and financial transparency and accountability. However, it is important to be aware of potential risks, especially conflicts of interest that can undermine objective evaluations. [ABSTRACT FROM AUTHOR]

This paper investigates the relationship between macroeconomic factors, firm financial position, and firm value in Indonesia's property and real estate sector from 2017 to 2022. The property and real estate sectors significantly influence Indonesia's economic growth. Nevertheless, the real estate sector has encountered significant obstacles in recent years, notably during the COVID-19 pandemic, due to volatility in interest rates, high construction costs, and the sluggish property market. This study aims to address the existing research gap by investigating the relationship between macroeconomic indicators, including GDP growth, inflation rates, and interest rates, as well as financial factors, such as profitability and leverage, on the industry's firm value over a specified timeframe. Using panel data regressions, the study analyzes 162 observations from 27 listed property and real estate companies. The empirical findings demonstrate that property and real estate firms have the potential to enhance their overall performance and increase shareholder value by considering the interconnectedness of economic conditions and the financial position of the firm. Profitability emerges as a significant predictor of firm value, while the selected macroeconomic factors have significant and insignificant effects on the valuation of firms. Meanwhile, since this industry has substantial leverage, this variable does not affect firm value. This study also highlights that the critical component that drives the evaluation of a firm's value is heavily influenced by the specifics of the industry and the regulatory framework in which the business operates. [ABSTRACT FROM AUTHOR]

Copyright of Riwayat: Educational Journal of History & Humanities is the property of Riwayat: Educational Journal of History & Humanities and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article explores the challenges faced by PT Krakatau Steel (PTKS) in the steel industry in Indonesia and the strategies they can employ to optimize steel sales. The research methodology involves interviews with industry professionals and analysis of internal and external factors. The article highlights the impact of political uncertainty, global economic conditions, population growth, technological advancements, and environmental concerns on the industry. It also discusses the effects of government regulations and competitive forces in the industry. The document concludes with strategic recommendations and an implementation plan for the future. [Extracted from the article]

Despite the growing urgency, discussions about the diffusion of this technology are still challenging to identify and understand. Hence, it is essential to distinguish the diffusion of blockchain technology in society. This study developed the model and used a survey as a research strategy. Data were analysed using structural equation modelling. Furthermore, this study collected 96 respondents using a snowball sampling technique. The findings show that certain hypotheses resulted in diverging from the developed model. Blockchain adoption is suitable for today's problems and has a relative advantage over other technologies in influencing individual perceptions. However, the limited knowledge of society makes blockchain adoption only focused on a particular context. The role of the social environment is more visible in its significance on the intention to adopt blockchain technology along with individual perceptions. The research model attempted to extend the existing technology adoption behaviour theory widely used to understand technological adoption. [ABSTRACT FROM AUTHOR]

Copyright of Techno.com is the property of Universitas Dian Nuswantoro, Fakultas Ilmu Komputer and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Illegal gold mining is a controversial activity. It provides livelihoods for rural communities in gold-rich areas and contributes to poverty alleviation; however, it also creates environmental devastation, losses to state revenue and often triggers social conflicts. Various eradication efforts have been made, ranging from persuasive approaches to harsh law enforcement involving the military and police, yet this illegal activity continues. This qualitative study aims to find and propose workable solutions to eradicate this activity, particularly in Indonesia. The study was conducted at two illegal- mining sites in Kalimantan, involving some 6,000 illegal-gold-miners. Data were collected through field observations and in-depth interviews with primary stakeholders, including authorities, perpetrators, and the community. The study identified eight sets of solutions to be implemented with an integrative approach, covering alternative livelihoods, cooperation and assistance, education and training, information dissemination, formalization, multi-sectoral collaboration, regulatory changes, and law enforcement. This paper contributes to model development in similar social circumstances and, in practice, provides workable solutions to illegal-gold-mining in other sites, particularly in Indonesia. [ABSTRACT FROM AUTHOR]

Improvements to building energy efficiency are critical to a more sustainable future. In this paper, an analytic hierarchy process method was applied to systematically highlight how experts prioritize various factors and contexts in their decisions to implement energy efficiency retrofit. This study surveyed 236 facility management experts in the United States to obtain a consensus about how they prioritized five decision criteria, including 15 factors to retrofit. Additionally, a cross-context comparison was conducted to examine differing perceptions of retrofit as a function of physical, functional, and social contexts. The three most important factors across all US respondents were payback period, life-cycle cost, and funding mechanism. The least considered factors were CO2 emissions, educational programs, and demand pressure. This study revealed no significant disagreement between public and private institutions or between executives and nonexecutives. Larger magnitudes of weight differences were observed mainly among diverse climate zones and industry sectors. Findings are relevant to regulators proposing initiatives to increase energy efficiency adoption. [ABSTRACT FROM AUTHOR]

The Covid-19 Pandemic has shifted the behaviour of decision-makers in all business processes. This situation has accelerated the process of digitizing all information, information technology, and business processes. As a subsidiary of an Oil and Gas State-Owned Enterprise in Indonesia, The SHU also has a similar SOE's bureaucracy for the approval process in business development. What factors were considered, and how did the interaction and interrelation within those factors influence the decision-making is the main question in this research. This research aims at developing the decision-making system by accommodating the decision-maker's needs and preferences. Action research based on soft systems methodology (SSM) is used to model the new decision-making system and compare results. The long decision-making stages of business development investment have delayed several important business development projects, leading to missed early production opportunities and increased capital investment. Financial decision documents have to be wet-signed by all stakeholders involved in the decisionmaking process. It is practically difficult to follow existing business processes for business development approval during the Pandemic. The Covid-19 Pandemic is an entry point for redefining existing decision-making systems. The results showed that the principle of prudence and compliance are the main factors influencing decision-making. The development of digital review and approval based on a decision-making system conceptual model accommodated the interests of all stakeholders, and business processes continued during the Pandemic. [ABSTRACT FROM AUTHOR]

• Decisions to conduct buildings' energy efficiency involve multiple factors. • A case study at University of Washington identifies 32 factors. • Interactions among factors in a causal loop diagram show three important concerns. • Three concerns are economic feasibility, occupant impact and technical practicality. Education buildings, as the third highest consumer of energy in the United States, provides significant opportunities to lower greenhouse gas emissions by increasing energy efficiency (EE). Higher education institutions (HEIs) campuses exhibits multiple favorable but unique attributes, including access to capital, multiple stakeholders involved with differing needs, and control of heterogeneous buildings that are energy intensive, such as laboratories, medical research facilities, sports facilities, and food services. There is a great opportunity to conserve energy by retrofitting these buildings. The decision to retrofit involves many stakeholders and also many factors that are interrelated. This study aims to understand the decision-making processes in EE projects at a higher education institution, particularly the exhaustive list of factors that facilities managers consider when making decision and their interrelationships. Using in-depth semi-structured interviews of facilities managers and secondary data from reports and policy documents, a case study at a large higher education institution is conducted. The content analysis of the data identifies decision factors that are categorized into five major categories: economic feasibility, environmental impact, institutional characteristics, occupant impact, and technical practicality. Interactions among factors are depicted in a causal loop diagram that shows cause-effect relationships. Three main loops highlight the major concerns—economic feasibility, occupant impact, and technical practicality. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to propose an over-the-top (OTT) initiative selection process for communication service providers (CSPs) entering an OTT business. Design/methodology/approach: To achieve this objective, a literature review was conducted to comprehend the past and current practices of the project (or initiative) selection process as mainly suggested in project portfolio management (PPM). This literature was compared with specific situations and the needs of CSPs when constructing an OTT portfolio. Based on the contrast between the conventional project selection process and specific OTT characteristics, a different selection process is developed and tested using group model-building (GMB), which involved an in-depth interview, a questionnaire and a focus group discussion (FGD). Findings: The paper recommends five distinct steps for CSPs to construct an OTT initiative portfolio: candidate list of OTT initiatives, interdependency diagram, evaluation of all interdependent OTT initiatives, evaluation of all non-interdependent OTT initiatives and optimal portfolio of OTT initiatives. Research limitations/implications: The research is empirical, and various OTT services are implemented; the conclusion is derived only from one CSP, which operates as a group. Generalization of this approach will require further empirical tests on different CSPs, OTT players or any firms performing portfolio selection with a degree of interdependency among the projects. Practical implications: Having considered interdependency, the proposed OTT initiative selection steps can be further implemented by portfolio managers for more effective OTT initiative portfolio construction. Originality/value: While the previous literature and common practices suggest ensuring the benefits (mainly financial) of individual projects, this research accords higher priority to the success of the overall OTT initiative portfolio and recommends that an evaluation of the overall portfolio should occur prior to individual evaluation. Consequently, certain initiatives may not provide direct individual benefits. Those initiatives should remain within the portfolio because they are needed for the success of other initiatives. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to give further understanding on value co-creation mechanisms in B-to-B service network by reinforcing the processes, the relationships, and the influences of other agents where Collaborative Transportation Management (CTM) forms might be best employed. Design/methodology/approach: In order to model the interactions among agents in the collaboration processes and the value co-creation processes, this research used three collaboration cases in Indonesia. The agent-based simulation was used to capture both the collaboration process and the value co-creation process of the three collaboration cases. Findings: The interactions among the agents both inside and outside their collaboration environments determined agent's role as a value co-creator. The willingness of an agent to accept the opinion of another agent determined the degree of their willingness to co-operate and to change their strategies, and perceptions. Therefore, interaction among agents influenced the size of the value obtained by them in each collaboration process. Research limitations/implications: The findings of the simulations subject to assumptions based on the collaboration cases. Further research is related to how to encourage agents to co-operate and adjust their perceptions. Practical implications: It is crucial for the practitioners to interact with another agent both inside and outside their collaboration environment. The opinions of another agent inside the collaboration environment also need to be considered. Originality/value: This research is derived from its emphasis on how a value is co-created by reinforcing both the collaborative processes and the interactions among agents as well as on how CTM might be best employed. [ABSTRACT FROM AUTHOR]

Collaborative Transportation Management (CTM) aims to reduce inefficiency, improve services, and provide mutual outcome to all parties. CTM has raised significant interest of both researchers and practitioners. Sharing information is the most basic form of coordination in supply chains to integrate CTM models at strategic, tactical, and operational levels. However, little has been known about the state of the art of CTM models. This paper presents a comprehensive review on the current state of CTM models. The overview of the CTM models is organized by classifying the previous literatures on different collaborative structures and different levels of planning. This paper also presents the relevant solution techniques used for each planning level. A review on the current state of CTM models concludes by highlighting the unaddressed areas or the gaps existing in the current literatures and by suggesting directions for future research in CTM. [ABSTRACT FROM AUTHOR]

This study aims to investigate the potential of incorporating social interaction and social learning in modelling travellers' change of behaviour under uncertainty. The interdependent situation between travellers in using the road as a public good is considered a source of uncertainty to be studied. The role of social information in reducing the level of uncertainty is investigated. The research methodology utilises laboratory and simulation experiments. A social interdependence situation which is formulated as a hypothetical employer-based demand management initiative in reducing car use is used as the case study. A laboratory experiment demonstrates the dynamic processes of travel behaviour in making repeated travel decisions. Analyses on group and individual behaviours of travellers provide some indications about the existence of some types of social and individual learning mechanisms in their decision-making. The results of the laboratory experiment also provide basic information for developing a simulation model in the next stage of the study. The simulation experiment utilises an agent-based simulation model to simulate and analyse behaviours of individuals in larger environments, larger group sizes, longer time periods and various situational settings. The simulation experiments provide indications, which are supported by the evidence obtained from the laboratory experiment, that social information may have both positive and negative effects on individuals' behaviour, depending on the form of social learning mechanisms that are used by travellers. Providing social information does not necessarily reduce the uncertainty level; however, it is shown to do so when social learning strongly exists among travellers. [ABSTRACT FROM AUTHOR]

In response to the COVID-19 pandemic, educational institutions worldwide have made online learning their primary channel. While the various benefits of e-learning have influenced governments to extend the use of this platform after the pandemic, there is the question of the intention of students toward online learning (i.e., participation and location) after the pandemic. This research aims to examine the intention of undergraduate students to do online learning post-COVID-19 pandemic and explore the factors that affect them in Indonesia. To that end, this study distributed an online questionnaire to 906 undergraduate students in mid-2021 in Bandung, Indonesia, and used the Discriminant Analysis (DA) and Multinomial Logistics Regression (MNL) model to explore the factors that influence the intention for e-learning after the pandemic. Teaching quality and time management benefits were found to influence students' intention to spend more days on e-learning. Lower frequency of e-learning is associated with communication problems, internet problems, and unfavorable conditions at home. While the substitution effect is found in e-learning for students who are able to focus during online class, the neutral effect is found for students who experience internet problems and have a lower monthly allowance. E-learning also modifies trips for students who have higher monthly allowances and experience dizziness from long screen time. Students who reside in well-developed neighborhoods tend to prefer to attend online classes from home. [ABSTRACT FROM AUTHOR]

This experimental study examined the effects of conscientiousness and competition on group decision quality. The participants of this study (240 undergraduate students, 175 females, and 65 males) were divided into 40 groups of Highconscientiousness (HC) traits and 40 groups of Low-conscientiousness (LC) traits. Each group consisted of three people. The task was to make a group decision in two different settings, with and without competition. The exact logistic regression showed that HC personality significantly increased the risk of bad group decisions. It is likely that the inability of the HC group to adapt their strategy in problem-solving inhibits their performance in producing the quality group decision. The competition condition does not affect the quality. Nevertheless, there is an interaction effect of conscientiousness and competition in influencing the quality of group decisions. [ABSTRACT FROM AUTHOR]