Drawing on Uses and Gratifications theory, this paper proposes and empirically tests an integrated model that depicts the factors that have the potential to impact the behavioral intention to adopt ...online games. The model is tested with data collected from 308 students in an American university. Overall, the results revealed that the effect of enjoyment was very crucial, and those of social interaction and achievement are moderate, but that of flow of experience did not influence behavioral intention. Results also indicated that visual appeal and escapism are important factors that affect and precede enjoyment.
•Proposes an integrated model that identifies factors leading to online game adoption.•The effect of enjoyment was very crucial.•The effect of social interaction and achievement are moderate.•Flow of experience did not significantly affect behavioral intention.•Visual appeal and escapism are important factors that affect and precede enjoyment.
Artificial intelligence (AI) is considered a mechanism that can improve supply chain resilience. Organisations around the world are investing in implementing AI systems to improve their supply chain ...and become more resilient to pandemics and disruption. At the same time, practitioners are not fully aware of the factors that impact the implementation of these systems. Alongside this, the extant literature lacks a comprehensive study that evaluates the enablers impacting the implementation of AI in production systems. This research fills this gap by identifying, defining, and evaluating the critical enablers influencing the adoption and implementation of AI in production systems. We extracted twelve enablers, created a conceptual model, and categorised the enablers based on the Technology, Organization, and Environment (TOE) framework. After categorisation, we used the analytical hierarchy process to assess the importance of the enablers presented in the model using data collected from eight experts. The results revealed that technology, as a category, is more crucial than organisation or environment. The findings also indicated that project management is the most critical of all twelve enablers. We discuss the implications of the analysis for practitioners and researchers. We also offer twelve propositions that researchers can empirically assess in future studies.
Responsible Artificial Intelligence (AI) has recently gained a lot of attention, especially in the last few years. Scholars have conducted systematic literature reviews to gain more knowledge about ...responsible AI. However, no study has collected and evaluated the most significant barriers to responsible AI. We filled this gap in the literature by identifying eleven barriers and categorized them, using the Technology-Organization-Environment framework, into three categories. We collected data from seven experts and used the analytical hierarchy process to evaluate the importance of the barriers. The results indicated that technology, as a category, is the most important. The findings also recommended that data quality is the most vital among all eleven barriers. We offered eleven propositions as a theoretical contribution for future researchers in terms of conceptual development. We discussed the implications of the findings for research and practice.
Podcast, which is one of the technologies that was developed for personal entertainment or for information usage, has become one of the fastest growing technologies in distance learning over the past ...several years. Using the Technology Acceptance Model and Diffusion of Innovation Theory as base models, this study investigates the technological, individual, and social aspects that influence the adoption of podcast use in education. Previous research on podcast use in education attempted to study its adoption and diffusion; however, these studies have been rather isolated small case studies than a holistic, integrative research. This study overcomes this limitation by examining the student podcast adoption with survey data collected from 352 students in a higher education institution using a comprehensive model. The hypotheses were confirmed using structural equation modeling analytical procedures and the findings supported the proposed model. Based on the findings, implications for theory and practices are discussed.
•Propose an integrated model that identifies the factors leading to adopt podcast.•Technological, individual, and social factors significantly affect podcast adoption.•Usefulness, relative advantage, and enjoyment have the highest influence on podcast adoption.•Mobility, self-efficacy, ease of use, and image also affect (in)directly podcast adoption.
•We identified the critical success factors impacting the implementation of data intelligence in public sector.•We used the analytical hierarchy process to evaluate the identified ...factors.•Technology, as a category, is more important than organization and process.•We found that project management, information systems & data, and data quality are the most important factors among all identified factors.
This study aims to fill a gap in the literature by identifying, defining, and evaluating the critical success factors that impact the implementation of data intelligence in the public sector. Fourteen factors were identified, and then divided into three categories: organization, process, and technology. We used the analytical hierarchy process, a quantitative method of decision-making, to evaluate the importance of the factors presented in the study using data collected from nine experts. The results showed that technology, as a category, is the most important. The analysis also indicated that project management, information systems & data, and data quality are the most important factors among all fourteen critical success factors. We discuss the implications of the analysis for practitioners and researchers in the paper.
Numerous studies have found that employees are the principal source of adverse Information Systems Security (ISS) incidents in organizational settings. Consequently, the ISS research focuses on ...examining factors that affect employees' behaviour towards complying with ISS policy. Most of this research, based on the theory of reasoned action, considers that employees' intention to comply with ISS policies is a good predictor of their behaviour. This paper argues that the employees' compliance with ISS policies within organizations is usually enforced, and that the non-compliance is mainly due to the resistance towards these policies. This research examines the role of organizational punishment and organizational norms in impacting employees' resistance towards the ISS policies. The data were collected from 133 employees of 10 organizations spanning four industries and the hypotheses were tested and validated using PLS-SEM analytical procedures. The results show that moral and descriptive norms are useful in reducing the resistance.
•Non-compliance is mainly due to the resistance towards Information Security policies.•Changes associated with implementation of Security policies create stimuli for resistance.•Moral and descriptive norms reduce the resistance towards Information Security policies.•Certainty of detection and punishment severity affect moral and descriptive norms.
This paper provides a theoretically grounded model of e-commerce adoption to explain differences in adoption rates among countries. The model extends the existing culture-policy-technology (CPT) ...framework to examine causal relationships between the technological, institutional, and cultural factors in order to examine country-level e-commerce adoption. Thus, interesting relationships among macro-level factors are hypothesized. The paper highlights the important of risk mitigating mechanisms or institutions to facilitate adoption of e-commerce in countries with high uncertainty avoidance. A call for empirical examination into country level adoption is answered by analyzing macro level data from 69 countries. The hypotheses are confirmed using PLS analytical procedures. The study is timely as e-commerce technology has now taken hold in several countries but its revenues in proportion to the overall total revenues remain low. The study is motivated by significant different in e-commerce adoption rates among countries. The paper makes significant contributions to literature and practice.
PurposeThis exploratory research aims to (1) investigate the bright and dark sides of social media use during the COVID-19 pandemic; (2) explore the impact of demographic factors on social media ...usage; and (3) assess the effects of cultural dimensions on social media usage.Design/methodology/approachThe data are collected through an online survey. Factors derived from grounded theories and models such as affordance theory and Hofstede's cultural framework were considered. Spearman correlation and nonparametric analysis were used to test the hypotheses.FindingsThe results revealed that social media usage was positively associated with healing and affiliation, and negatively associated with self-control. There are also positive associations between social media usage and sharing information related to COVID-19 without verification, perceived reliability of COVID-19 information on social media and relapse. The impact of demographic and cultural factors indicated significant effects of gender, age, marital status, educational level, power distance and collectivism on social media usage, sharing information, perceived information reliability, healing and affiliation.Originality/valueThis study contributes to technology affordances by examining social media's positive and negative affordances in a new context (COVID-19 pandemic). From the positive side, this study explores the use of social media for healing and affiliation. As for the negative impact of social media during the pandemic, this study assesses the user's addiction to social media use (relapse) and perception of the social media information reliability and information sharing without verification. It is among few research endeavors conducted in a non-Western country. This study also examines the influence of demographic and cultural factors on social media users. The results provide insights for both researchers and policymakers regarding social media usage.
This research explores critical factors impacting e-commerce adoption at the country-level. Due to the steady growth in e-commerce trade volumes in recent years, governments of many countries are ...focused on improving their share in the overall global trade. Therefore, it is crucial to examine the important drivers of e-commerce adoption at a country level rather than just individual and organizational levels. In addition to social trust, the model presented includes technological, governmental, and cultural factors as antecedents of the e-commerce adoption. Secondary data from seventy countries are collected to empirically evaluate the hypotheses presented among the factors of the research model. The hypotheses are assessed using PLS analytical procedures. We found that connectivity and technological efficacy directly influence e-commerce. We also found that legal environment and connectivity impact social trust which in its turn affects uncertainty avoidance. Our results are very important for decision makers. According to the results of our study, policy makers need to consider their country's institutional, technological, and cultural environments. We discuss the implications of our results for researchers and practitioners.
Data-driven digital transformation is increasingly recognized as a crucial element of unlocking new business value, leveraging data-driven approaches in organizational business strategies and ...operations. Concurrently, organizational culture emerges as a critical factor in the organizational transformation process and success. However, current literature offers sparse insights into how organizational culture affects data-driven digital transformation. To gain deeper insights, this study leverages two complementary organizational culture frameworks to examine their relationship with data-driven digital transformation. Moreover, we investigate the link between data-driven digital transformation and operational performance in a manufacturing context. Utilizing data from 317 surveys, our findings show that organizational culture significantly affects data-driven digital transformation, which consequently impacts operational performance. This study advances understanding of the critical role of organizational culture in facilitating data-driven digital transformation, addressing a previously underexplored area in Operations and Supply Chain Management literature. By employing a dual-framework approach, it provides a more nuanced comprehension of organizational culture's impact on data-driven digital transformation while clarifying the complex relationship between digital transformation and operational performance within the manufacturing sector. Our study also delivers significant practical contributions, guiding organizations in effectively implementing and benefiting from data-driven digital transformation initiatives.
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