18 research outputs found

    FLEXIBLE WORK ARRANGEMENTS IN COVID-19 PANDEMIC ERA, INFLUENCE EMPLOYEE PERFORMANCE: THE MEDIATING ROLE OF INNOVATIVE WORK BEHAVIOR

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    Purpose of the study: The purpose of this study is to provide in-depth analysis to formulate appropriate work regulation policies and stimulate innovative work behavior in order to maintain company performance amid the COVID-19 pandemic. Therefore this encourages the identification of the effect of flexible work arrangements on employee performance through innovative work behavior on banking sector employees in the East Java region, Indonesia. Methodology: This study has used a quantitative research approach. Data analysis has been done by Structural Equation Model (SEM) method by Partial Least Square (PLS) supported by program computer software smart-PLS 3.0, and SPSS 23.0, in order to analyze the respondents’ characteristics, with sample size, which is 70 respondents working in the banking sector in the East Java region, Indonesia. Main Findings: We find that employee perceptions about their flexible work arrangements do not significantly influence employee performance, flexible work arrangements are positively related to innovative work behavior, innovative work behavior is positively related to employee performance and this relationship is mediated by innovative work behavior. Applications of this study: Banking management in the East Java region needs to consider innovation-related work behavior amid the COVID-19 pandemic, which is the use of non-cash payment methods by scanning the retinal eye. This study shows that in the absence of physical contact with the practice of using this machine, it can be a concrete COVID-19 era preventive solution to be applied to the wider community. Novelty/Originality of this study: The relationship between flexible work arrangements and employee's performance has been well researched. However, there has been no study on the impact of flexible work arrangements on employee performance mediated innovative work behavior and how employee innovativeness leads to better employee performance on the pandemic COVID-19 era

    Explaining Adoption of Pervasive Retail Systems with a Model based on UTAUT2 and the Extended Privacy Calculus

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    The advent of e-commerce puts traditional retail companies under a lot of pressure. A way retailers try to attract more customers to their physical stores is by offering online services on the retail sales floor. Such services are enabled through pervasive retail systems. These systems, however, do not only offer new opportunities but also bear risks for retailers because they heavily depend on privacy-related data, which customers could perceive as a potential privacy threat. In the present paper, we thus investigate the antecedents of customers’ usage intention towards such systems and the trade-off between the perceived benefits and the perceived privacy costs that are associated with their use. To this end, we propose a model based on the most recent version of the Unified Theory of Acceptance and Use of Technology (UTAUT2) and the Extended Privacy Calculus Theory. We validate our model considering a smart fitting room application and show that the model is able to explain 67.1% of the variance in the behavioral intention to use the system and 43.1% of the variance in a person’s willingness to disclose private information. Our results can be leveraged to design pervasive systems that are perceived as valuable instead of privacy threatening

    Investigating The Mediating Role of Financial Literacy on The Relationship Between Women Entrepreneurs’ Behavioral Biases and Investment Decision Making

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    This study investigates the theoretical link between heuristic behavioral factors and the investment decision-making of women entrepreneurs, focusing on the impor­tance of financial literacy as a potential mediator shaping prudent decision-making. We argue that women’s financial literacy is an efficient way to apply behavioral considerations in wise decision making. Using the proportionate stratified sampling method, we collect­ed data from women entrepreneurs who were formally registered in Punjab Province, Pakistan. Owing to the complex model and small sample size, the smart PLS method was applied to analyze the structural relationship between the measured and latent con­structs. The results show that overconfidence and availability heuristics have a significant positive impact on investment decisions, while financial literacy plays an essential inter­vening role between the overconfidence heuristic, availability heuristic, and investment decision-making. Our results support the execution of financial literacy awareness among women entrepreneurs to stimulate their financial decision control and give them the in­dependence to make prudent financial decisions

    Assessment of PLS-SEM Path Model for Coefficient of Determination and Predictive Relevance of Consumer Trust on Organic Cosmetics

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    In this paper the researchers investigated the coefficient of determination R-Square and predictive relevance (Q2) through Blindfolding. To fulfil the aim of the study, a structured quantitative research survey has been conducted with 640 sample size. The results emerged from the research survey shows that the R-Square hasmoderate strength for the endogenous latent variable trust and substantial strength or effect for the endogenous latent variables integrity, ability and benevolence. After calculating Q2for the endogenous latent variable ability, benevolence, integrity and trust it was found that the model has predictive relevance for these constructs. The path coefficient threshold values for measuring between indicators namely, cause purview and emotional benefits, cause consequential and trust, cause rubric and trust, cause span and emotional benefits, emotional benefits and trust, functional benefits and trust, ability and trust, benevolence and trust and also for integrity and trust are above the threshold value of 1.96 substantiate the hypothesis and exerts direct relationship between two variables. But the path coefficient threshold values between indicators namely, Cause purview and trust, cause consequential and trust, cause rubric and emotional benefits, cause span and trust, and also self-expressive and trust are below the threshold value of 1.96 does not substantiate the hypothesis and also does not exerts direct relationship between two variables. At the end of the paper, the author highlights the results, along with implications and limitations

    Social Reporting Impact on Non-Profit Stakeholder Satisfaction and Trust during the COVID-19 Pandemic in an Emerging Market

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    Attracting resources to achieve established goals makes social reporting necessary in relation to an organization's stakeholders, and reports on the social impact of resource use and activities have an essential role in increasing stakeholder satisfaction and trust. The COVID-19 pandemic emphasized the importance of sustainable development goals and transparent social reporting for different categories of stakeholders. This paper aims to identify the social reporting dimensions that influence the satisfaction and trust of the primary stakeholders of non-profit organizations in an emerging market (Romania), i.e., managers, employees, members, volunteers, donors, and collaborators. The results reveal the positive influence COVID-19 reporting had on stakeholder satisfaction. The lack of formal reporting has a weak yet statistically significant negative influence on stakeholder satisfaction, thus positively influencing the perceived need for external and internal auditing. Stakeholder trust in an organization is strongly and positively influenced by satisfaction with the organizational activity and internal auditing and is negatively influenced by a lack of formal reporting

    Public-Private Partnership (P3) Success: Critical Success Factors for Local Government Services and Infrastructure Delivery

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    The Public-Private Partnership (P3) approach is a viable option to address the slow growth and burgeoning need to deliver infrastructure projects and services by state and local governments. This study focuses on identifying critical success factors (CSF) that influence the success of P3s for local government service and infrastructure delivery. A framework is presented for integrating relationship and project management CSFs identified from previous literature into P3s. In addition, public agency entrepreneurial orientation is introduced as a potential CSF – a focus that has been absent in previous P3 CSF literature. To empirically assess the influence of these CSFs on P3 success, we surveyed public administrators from municipalities and counties in Florida, asking about their perceptions of these success factors. The results show that the P3 relationship, project management, and public agency entrepreneurial orientation are critical to a project’s success. Moreover, government stakeholder influence significantly affects these factors. Private sector stakeholder influence also affects project management and public agency entrepreneurial orientation’s effect on P3 success. When applied in a managerial context, these findings can help public agencies to improve their P3 success rates and growth and help to solve the infrastructure and service delivery challenges facing local governments in the US today

    Towards a Model for Public Private Partnership (P3) Success: Understanding the Critical Success Factors of Public Private Partnerships (P3s) for Local Government Services and Infrastructure Delivery

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    This study focuses on the identification of factors that influence the success of Public Private Partnerships (P3) for local government service and infrastructure delivery. A framework is presented integrating economic, relationship, and project management P3 critical success factors (CSF) identified from previous literature together with public agency entrepreneurial orientation introduced as a potential critical success factor which has been absent in previous P3 CSF literature. Also, the framework examines how external stakeholder influence from the government, private sector, and the end user moderates these success factors. Public administrators from municipalities and counties in Florida provided their perceptions of these critical success factors to empirically assess their effect on P3 success. After analysis, the results show that the P3 relationship, project management and public agency entrepreneurial orientation are all critical to the success of the project. Moreover, government stakeholder influence has a significant impact on these factors and their effect on P3 success. Private sector stakeholder influence has an impact specifically on project management and public agency entrepreneurial orientation’s effect on P3 success. When applied in a practical context, these findings provide a framework of factors that can be built upon and assessed by public agencies to help improve their P3 success rates, encourage P3 growth, and help with solving the infrastructure and service delivery crises facing the US today. Furthermore, the results are integrated into success building strategies for managerial application. Overall, this study contributes to the extant literature and theory by supporting public agency entrepreneurial orientation as a P3 critical success factor, confirming that stakeholders influence P3 success factors, and providing a framework of constructs comprised of P3 CSFs for future study and managerial application

    Shopping using mobile applications and the role of the technology acceptance model

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    Digital Internet’s popularity and the e-commerce market continue to grow. In recent years, online media has greatly impacted retail experience and consumer behaviour. This study examines the influence of customer purchase intention (PIN) while considering a combination of social factors and the technology acceptance model (TAM). Previous studies on mobile applications have analysed the TAM effect; however, social factors remain neglected. Thus, highlighting the requirement for social factors, their effect on PIN was investigated. This study examined peer influence (PI) and social influence (SI) in terms of the application of the TAM and 404 responses collected from mobile banking application users in Hungary. SmartPLS was used to conduct structural equation modelling. The results demonstrate that PI and perceived usefulness (PU) are more effective than perceived ease of use (PEOU), along with attitudes towards mobile application usage (ATMAU) and SI. Moreover, ATMAU established a significant relationship with PIN. In addition, PU and PI have a more effective indirect relationship than PEOU and SI with PIN in the mediation of ATMAU

    Determinants of Sustainable Cross-Border Cooperation: A Structural Model for the Hungarian Context Using the PLS-SEM Methodology

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    The importance of this research stems from the need to ensure the sustainability of cross-border cooperation through a better understanding of its determinants and causal relationships. While having common features and patterns, cross-border cooperation is always expressed through the relations of specific countries and peoples. Therefore, based upon the PLS-SEM methodology, the authors consider the fundamental factors influencing the external cooperation of Hungary’s transboundary regions. The advantage of the PLS-SEM method is that it enables researchers to simultaneously identify and approximate hidden connections between input data and to construct a regression model describing the relationship between input data. Despite widespread application in economic studies, the authors have not found the use of PLS-SEM for studying cross-border cooperation issues in the current scientific literature. The authors have built a model to assess the hidden factors of cross-border cooperation and to identify the indirect influence of certain factors. The novelty of the research is to identify the determinants of sustainable cross-border cooperation and the relationship between them in a multi-level system of cross-border interaction between businesses, people, and the State. In the Hungarian context, transport infrastructure and business travel are shown to have a direct positive impact on cross-border cooperation. For the first time, tourism and socio-economic conditions have been shown to have powerful but indirect impacts. This work could be the beginning of gathering new evidence on the determinants and causation of cross-border cooperation in the context of other countries. An important finding of the study is the growing importance of indicators of the new, post-industrial economy. As for recommendations, the authors focus on state, regional, and municipal support measures, awareness of the possibilities of cross-border cooperation, the need to develop e-commerce, and alternative energy as a modern basis for converting Hungary’s cross-border position into a competitive advantage
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