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This paper builds a research model with four constructs, i.e., competencies, knowledge-oriented leadership, innovation, and performance within manufacturing companies to find out, through path mode...

The main purpose of this study is to explore the influences of factors on using SNSs that arise from the basic need of belonging to emotional disclosure then the intention to make connections to ot...

The purpose of this study was to explore and compare women’s perceptions of Information and Communication Technologies (ICTs), empowerment, and success among respondents in eight countries. The res...

The purpose of this paper was to first examine the reliability, validity, and strength of a unified model for information security policy compliance that includes eight constructs explaining inform...

The purpose of this study was to find out which one of the four selected predictor variables, i.e., leadership, trusting beliefs, role values, and information security policy awareness are ...

Purpose The purpose of this paper is to build an awareness-centered information security policy (ISP) compliance model, asserting that awareness is the key to ISP compliance and that awareness depends upon several variables that influence successful ISP compliance. Design/methodology/approach The authors built a model with seven constructs, i.e., leadership, trusting beliefs, information security issues awareness (ISIA), ISP awareness, understanding resource vulnerability, self-efficacy (SE) and intention to comply. Seven hypotheses were stated. A sample of 285 non-management employees was used from various organizations in the USA. The authors used path modeling to analyze the data. Findings The findings indicated that IS awareness depends on effective organizational leadership and elevated employees’ trusting beliefs. The understanding of resource vulnerability (URV) and SE are influenced by IS awareness resulting from effective leadership and elevated employees’ trusting beliefs which guide employees to comply with ISP requirements. Practical implications Practical implications were aimed at organizations embracing an awareness-centered information security compliance program to secure organizations’ assets against threats by implementing various security education and training awareness programs. Originality/value This paper asserts that awareness is central to ISP compliance. Leadership and trusting beliefs variables play significant roles in the information security awareness which in turn positively affect employees’ URV and SE variables leading employees to comply with the ISP requirements.

Purpose In the business and data analytics community, intuition has not been discussed widely in terms of its application to executive decision-making. However, the purpose of this paper is to focus on new global research that combines intuition, trust and analytics in terms of how well C-level executives trust their intuition. Design/methodology/approach Our Fulbright research, as described in this paper and performed by colleagues from the United States, Canada, Poland and Italy, examines executives’ as well as other less experienced employees’ preferences for different types of intuition versus data analysis. This study set out to better understand the degree to which executives prefer intuition versus analysis and the relationship between these approaches to decision-making. Our research combines elements of a review, a cross-cultural/cross-company survey study and a biometrics study in interoception. The research team has a multidisciplinary background in business, information technology, strategy, trust management, statistics and neuroscience. Findings Based on our research, the main findings are as follows. The use of and preference for intuition types change as employees gain more experience. However, there may be intuition styles that are more static and trait-like, which are linked to roles, differentiating managers from leaders. Using “inferential intuition” and “seeing the big picture” go hand in hand. Listening to your body signals can promote improved intuition. Cross-cultural differences may impact executive decision-making. Executives often prefer to use their intuition over analysis/analytics. Research limitations/implications This research could be expanded to have a larger sample size of C-level executives. We had 172 responses with 65% C-level executives and 12% directors. However, a recent survey by the Economist Intelligence Unit on intuition used by executives had a sample of 174 executives around the world, which is comparable with our sample size. Practical implications From our research, executives should continue to apply their experiential learning through intuition to complement their use of data in making strategic decisions. We have often discounted the use of intuition in executive decision-making, but our research highlights the importance of making it a critical part of the executive decision-making process. Originality/value Based on the results of our survey and biometrics research, executives apply their intuition to gain greater confidence in their decision-making. Listening to their body signals can also improve their intuitive executive awareness. This complements their use of data and analytics when making executive decisions.

The Internet of Things (IoT) global arena is massive and growing exponentially. Those in the emerging digital world have recently witnessed the proliferation and impact of IoT-enabled devices. The IoT has provided new opportunities in the technology arena while bringing several challenges to an increased level of concern. This research has both practical and theoretical impetus since IoT is still in its infancy, and yet it is considered by many as the most important technology initiative of today. This study includes a systematic review and synthesis of IoT related literature and the development of a theoretical framework and conceptual model. The review of the literature reveals that the number of applications that make use of the IoT has increased dramatically and spans areas from business and manufacturing to home, health care, and knowledge management. Although IoT can create invaluable data in every industry, it does not occur without its challenges. The theoretical framework developed identifies IoT priority areas and challenges, providing a guide for those leading IoT initiatives and revealing opportunities for future IoT research.

Knowledge management (KM) has been an evolving field over the past 35 years. We have seen the field emerge from developing the institutional memory of the organization to increasing innovation to building more internal and external effectiveness. The Library and Information Science (LIS) community has had a great role to play in KM, and as we reflect on the progress of KM over the years, we can learn from our past and project towards the future. The aim of the paper is to present the overview: what is the history, what is the situation now and what is the future of knowledge management in the next five years.

The purpose of this study was to investigate the link between users’ risk beliefs and social media privacy concerns (concerns users express regarding social media sites’ practices as to how they collect and use personal information). A Likert-type instrument with seven constructs, six of which described the social media privacy concerns and the seventh construct defined users’ risk beliefs, was used to collect data from students who were studying at a university in the southeastern United States. All students (N = 138) used Facebook as their major social networking site. Collected data were analyzed via multiple regression analysis. The results indicated that subjects’ risk beliefs are influenced by three social media privacy concerns (i.e., collection, error, and awareness). The Findings and their implications are discussed. Recommendations for future research are made.

The purpose of this study was to examine the influence of trust variables (trust: competence, trust: benevolence, trust: integrity) on leadership regarding the organization’s information se...

This paper aims to identify financial measures that are related to Corporate Social Responsibility (CSR) involvement activities. The study concerns the food industry, in which clients, as well as stakeholders, increasingly appreciate socially responsible companies, which could be a crucial factor for future growth strategy. An analysis was made on a sample of 448 food companies from 50 countries in 2009&ndash, 2020. As a financial measure for CSR assessment, we used profitability ratios, dividend payout ratio, price-to-earnings ratio and market capitalization. The results confirmed that CSR reporting was a crucial division that differentiated companies from the perspective of profitability, OE, market capitalization, and share price. The CSR practices that are realized and published in reports become an important signal for investors that the company has a good financial situation and is able to invest in CSR without reducing its performance.

Social technologies have rapidly become part of the workplace culture with companies using social platforms to communicate, for customer service, to gain exposure and create awareness, to gain new customers, to increase revenue and profits, for marketing purposes, to network and build relationships, and for recruiting purposes. This paper reports the results of a study of the usage of social technologies by working women in Spain to determine the purposes for using these platforms in a business environment. Furthermore, statistical analyses of the data reveal whether the age of the respondents make a difference in social media preferences. Based on these results, organizations will have a better grasp of how to optimize the use of social technologies in business and which age groups are better suited for managing specific platforms based on the purposes studied, thus adding to the literature in the field.

This paper proposes a research model with five constructs, i.e., IoT awareness, users’ IoT privacy knowledge, users’ IoT security knowledge, users’ IoT Trust, and continued intention to use IoT to bring clarity to the growing yet fragmented literature on the path from IoT awareness to the continued use of IoT. Hypotheses stemming from the proposed model were stated. A total of 297 subjects from various organizations in 9 regions of the USA participated in the study. Collected data were analyzed through path modeling, using SmartPLS 3.0. The results indicated that IoT awareness can positively influence users’ knowledge of IoT privacy and security. The users’ knowledge of IoT privacy and security can positively influence users’ IoT trust and subsequently, the users’ IoT trust can positively influence continued intention to use IoT. Additionally, IoT privacy knowledge, IoT security knowledge, and IoT trust were found to be the mediating variables in the proposed model. Theoretical and practical implications of findings, as well as recommendations for further research, are discussed.

Purpose The purpose of this paper is to build a research model that examines social media privacy concerns (SMPC) in relation to users’ trusting beliefs and risk beliefs. Design/methodology/approach An instrument with eight constructs (SMPC: collection, SMPC: secondary usage, SMPC: errors, SMPC: improper access, SMPC: control, SMPC: awareness, trusting beliefs and risk beliefs) was developed and administered to subjects from a mid-sized university in the USA. Collected data were analyzed using partial least square structural equation modeling. Findings The results showed that three of the six SMPC (i.e. secondary usage, improper access and awareness) were negatively and significantly associated with users’ trusting beliefs. In addition, three of the six SMPC (i.e. collection, errors and improper access) were positively and significantly associated with users’ risk beliefs. Practical implications Practical implications were aimed at the social media sites to design simple and straightforward privacy policy statements that are easy to understand; to safeguard users’ online privacy behaviors; and to develop mechanisms to protect personal information. Originality/value This study enhances the literature by contributing to a generalized knowledge of SMPC of users as they relate to their trusting beliefs and risk beliefs.

This paper builds a research model to examine the impact of security policy awareness and data protection awareness of mobile devices on employees’ trust belief. A survey instrument was administered to a sample in various organizations in the United States (US). Collected data were analyzed using Partial Least Squares - Structural Equation Modeling (PLS-SEM). Results using 222 participants showed that the security policy awareness of mobile devices positively and significantly contributes to employees’ trusting beliefs. Likewise, the data protection awareness of mobile devices positively and significantly contributes to employees’ trusting beliefs. The findings are discussed.

This study sought to investigate which of the four predictor variables (Applying Knowledge, Storing Knowledge, Acquiring Knowledge, & Diffusing Knowledge) are most significant in association with Organizational Culture. The instrument used in this study includes five parts that were used to measure the knowledge management processes (knowledge acquisition, storage, diffusion, & application) and organizational culture. The instrument was administered to 77 employees from two of the largest Georgian cities: Tbilisi and Kutaisi. Collected data were analyzed through multiple regression analysis. The analysis was conducted to determine which of the independent variables (Acquiring Knowledge, Storing Knowledge, Diffusing Knowledge, & Applying Knowledge) is significant in predicting the dependent variable (Organizational Culture). Diffusing Knowledge was found to be the only significant variable associated with the Organizational Culture. The analyses were followed by results, discussion, and implication for future research.

Purpose The purpose of this paper is to build a research model that examines the impact of leadership on trust, knowledge management and organizational performance. Design/methodology/approach An instrument containing six constructs (leadership: leading organization; leadership: leading people; leadership: leading self, trust, knowledge management and organizational performance) was designed and administered to subjects from all levels of management in various organizations in nine regions of the USA. Collected data were analyzed using partial least squares path modeling to test the hypotheses. Findings The study’s findings revealed positive and significant linear connection among leadership (leading organization, leading people and leading self), trust, knowledge management and organizational performance. Practical implications The findings imply that effective leadership (leading organization, leading people and leading self) contributes to elevated trust among people, promotes the successful implementation of knowledge management processes, and in turn enhances organizational performance. Therefore, leadership training and development must be a top strategic priority for any organization. Originality/value This study enriches the literature by demonstrating that effective leadership stands as the bedrock of the elevated trust, the successful knowledge management processes and the enhanced organizational performance.

WOS: 000388049900020, Globally, many women continue to face economic and technological challenges. To complicate matters, more than half of the population has no access to the internet. These issues have drawn international attention leading to global efforts by U.S. tech giants to provide world-wide access to the internet. Do social technologies play into the equation of economic development and empowerment for women? This paper reports results from studies conducted in Taiwan and Turkey regarding the use of five different social technologies platforms. Facebook-the largest social network worldwide-also is the most widely used platform in Taiwan and Turkey according to this research. Differences appeared between the two countries among the usage of other social platforms studied including Twitter, LinkedIn, YouTube, and Google+. Implications of this data-and data from other countries under study by the authors-will provide answers to women's empowerment and economic development in both developing and developed countries. (C) 2016 Elsevier Ltd. All rights reserved.