{"title":"Classifying DSS Research – A Theoretical Framework","authors":"Rahul Kumar, Rahul Thakurta","doi":"10.1007/s10796-024-10553-3","DOIUrl":"https://doi.org/10.1007/s10796-024-10553-3","url":null,"abstract":"<p>The domain of decision support systems (DSS), focusing on developing various systems to aid decision-making, is receiving increasing attention. The proliferation of the domain necessitates a more comprehensive categorization of DSS research towards a unified representation that can contribute to a shared understanding. We thereby resort to re-examining the DSS research to assimilate, unveil, and re-structure the DSS scholarship. We perform an automated content analysis of the abstracts to investigate the structural commonalities of the DSS articles featuring in the Scopus database and published in the last five decades. Furthermore, we supplement our findings by exploring and classifying the emergent sub-structures. For this, we resort to the scenario classification framework, which draws from information systems, human-computer interaction, and requirements engineering domains, and adapt it in the context of DSS. Our overall results led to a framework for classifying DSS research with four levels: decision environment, DS (decision support) artifact, DS application, and context. We show the framework’s applicability by systematically classifying a sample of publications shortlisted to demonstrate its usefulness.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"18 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Look Before you Leap! The Impact of Trust, Uncertainty, and Topics of Reviews on Search and Sales of Cars","authors":"Madhuri Prabhala, Indranil Bose","doi":"10.1007/s10796-024-10552-4","DOIUrl":"https://doi.org/10.1007/s10796-024-10552-4","url":null,"abstract":"<p>While the research on online consumer reviews is immense, it has largely focused on products which can also be purchased online. However, the high level of digital engagement of individuals today along with a reported fall in physical store visits indicate that digital content can also affect products available only for purchase offline. This research examines the effects of trust, uncertainty, and topics extracted from online consumer reviews on two outcomes in the India car market, namely the search for online information and sales. The study finds that while uncertainty does not affect sales, and has a negative effect on online information search, trust is positively associated with both. The topics extracted using Latent Dirichlet Allocation from the review corpus fall under the category of experiential or functional. The different topics have direct and mediating impacts on search and sales.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"42 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142562162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The impact of information privacy concerns on information systems use behaviors in non-volitional surveillance contexts: A moderated mediation approach","authors":"Jeewon Cho, Insu Park","doi":"10.1007/s10796-024-10549-z","DOIUrl":"https://doi.org/10.1007/s10796-024-10549-z","url":null,"abstract":"<p>Electronic surveillance/monitoring has become ubiquitous in modern organizations as advanced information technology (IT) expands organizational capacity to track system users’ daily information systems (IS) activities. Although this environmental shift surrounding IS raises an important (though largely unexplored) issue of IS users’ information privacy and subsequent IS behaviors, little is known about cognitive/psychological processes and boundary conditions underlying IS users’ information privacy concerns and behaviors under the context of non-volitional workplace surveillance. Grounded on psychological reactance theory, this paper articulates how and when information privacy concerns under workplace surveillance relate to IS use behaviors (i.e., effective IS use and shadow IT use) via psychological reactance. In addition, it investigates IS procedural fairness, a contextual boundary condition. We tested a research model using two surveys (via online platforms) data collected from a sample of 301 and 302 IS users working under electronic surveillance/monitoring systems in various organizations and industries. Using moderated mediation analyses, the results of the study show that (1) psychological reactance mediates the relationship between IS users’ information privacy concerns and effective IS use and shadow IT use, respectively; and (2) IS procedural fairness acts as a boundary condition for the given mediated relationships such that the negative impacts of information privacy concerns on psychological reactance and IS behaviors are mitigated. Implications for theory and practice are discussed.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"83 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142541705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AI’s Impact on Sustainability Targets: A Cross-Country NCA and fsQCA Study","authors":"Pramukh Nanjundaswamy Vasist, Satish Krishnan","doi":"10.1007/s10796-024-10543-5","DOIUrl":"https://doi.org/10.1007/s10796-024-10543-5","url":null,"abstract":"<p>Artificial intelligence is driving significant advancements in sustainability across nations. In light of AI’s benefits, recent studies emphasize the need for nations to develop comprehensive AI strategies that prioritize achieving SDG-related objectives. However, AI development is a complex sociotechnical process, with interconnected components influencing a country’s capability in AI. Given AI’s rising strategic significance for nations, we examine how dimensions of a nation’s AI capacity converge to facilitate sustainability advances. Using a cross-country configurational analysis comprising 59 nations, we identify six necessary conditions and three distinct configurations that influence a nation’s overall progress toward achieving the SDGs. The results underscore the relatively prominent role of access infrastructure and an operating environment underpinned by AI regulations in contributing to SDG progress. The comparatively lower significance of commercial ventures and AI talent highlights that sustainability efforts of ventures such as AI start-ups must balance social and environmental aspects with economic goals, while AI talent, in conjunction with other factors such as foundational platforms, can help drive innovative AI projects to advance SDG goals. A supplementary analysis helps discern how economic development and urbanization interact with other dimensions of a nation’s AI capacity to advance sustainability endeavors. The study renews focus on sustainability in IS research and contributes to the scholarly discourse on Responsible AI and Green IS. The results also nudge AI practitioners and policymakers to prioritize their efforts in advancing progress toward SDGs, specifically exploring AI’s potential to enhance and expedite these efforts.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"194 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142488825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Toward the Understanding of the Appropriation of Compliance Support System in Organizations","authors":"Sang-Soo Kim, Yong Jin Kim","doi":"10.1007/s10796-024-10546-2","DOIUrl":"https://doi.org/10.1007/s10796-024-10546-2","url":null,"abstract":"<p>Considering the complexity of compliance environment, only focusing on control-oriented actions through compulsory or disciplinary measures, as many firms did in the past, does not help firms tackle imminent challenges. Applying adaptive structuration theory to corporate compliance management, this study focused on identifying antecedents of compliance support system appropriation and investigating their impacts on compliance performance. As a result of surveying 192 multi-business firms in Korea, this study found that regulation environment and compliance championship as meta-structuring contexts shape compliance culture as an institutional structure and require key features of compliance support system (CSS) as a structure to be appropriated by users, which ultimately enhances the compliance performance of the firm. The findings contribute to making the previous adaptive structuration theory more applicable and providing useful directions to improve compliance performance for corporations.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"13 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142488824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Problem of Plenty? Understanding the Impact of Choice and Information Overload on Airbnb Bookings","authors":"V Athi Karthick, Adrija Majumdar, Indranil Bose","doi":"10.1007/s10796-024-10548-0","DOIUrl":"https://doi.org/10.1007/s10796-024-10548-0","url":null,"abstract":"<p>Online sharing platforms offer countless choices and detailed product descriptions to consumers. In this study, we demonstrate the effect of choice and information overload on booking decisions using large-scale field data from Airbnb and observe an inverse U-shaped association. Furthermore, our results show that providing quality assurance of the product exacerbates the choice and information overload relationship. As a post-hoc analysis, we perform topic modeling to gain better insights into how product information influences booking decisions. Specifically, the post-hoc analyses show that the number of topics in the description has a positive association with the number of bookings. Furthermore, topic count moderates the information overload effect by intensifying the influence of product description on the number of bookings. Our findings have important implications for online sharing platforms, service providers, and travelers as they shed light on the detrimental effects of excessive variety and information on booking decisions.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"20 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142451996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Blockchain: Exploring its Impact on the Business Models of Australian Accounting Firms","authors":"Maria Cadiz Dyball, Ravi Seethamraju","doi":"10.1007/s10796-024-10547-1","DOIUrl":"https://doi.org/10.1007/s10796-024-10547-1","url":null,"abstract":"<p>This paper reports on a study that investigated how the business models of Australian accounting firms are impacted by audit clients using blockchain technology. Semi-structured interviews with a range of stakeholders including audit partners from big-4 accounting firms reveal that firms are gradually adapting their business models by offering value propositions that involve efficiency, complementarities and novelty, despite a formative blockchain ecosystem in Australia. This ecosystem is characterized by clients’ reluctance to use blockchain platforms for financial systems and a lack of clear direction on applicable accounting standards and consensus on blockchain standards and governance.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"45 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142449610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Navigating in Turbulent Times: Using Social Media to Examine Small and family-Owned Business Topics and Sentiments during the COVID-19 Crisis","authors":"Shaun Meric Menezes, Ashok Kumar, Shantanu Dutta","doi":"10.1007/s10796-024-10542-6","DOIUrl":"https://doi.org/10.1007/s10796-024-10542-6","url":null,"abstract":"<p>During a crisis, small and family-owned businesses tend to experience more severe economic consequences than their larger counterparts and often lack financial resources needed to weather the challenges brought about by the crisis. To comprehend the distinct challenges and concerns of small and family-owned businesses during a major crisis, this research study focuses on the recent COVID-19 pandemic, which had a catastrophic effect on businesses and societies alike. To that effect, we address two research questions: First, what topics pertaining to small and family-owned businesses do social media users discuss during the COVID-19 pandemic? To achieve this goal, we employ the BERTopic model, a state-of-the-art technique for topic modeling, to identify and categorize prevalent themes arising from the discourse. Second, what is the impact of major government announcements on these discussions? Specifically, we study how sentiments change around a major government announcement aimed at supporting small businesses in the face of the pandemic. Our findings suggest that government announcements do not change the negative sentiments for most of the topics. This highlights the ineffectiveness of government announcements in alleviating people’s concern related to small and family-owned business and underscores the importance of a better consultation process and communication strategy by policymakers. The implications of our study transcend recent COVID-19 effects, as World Health Organization (WHO) cautions that there could be even worse health and socio-economic crises in the future, and we need to be better prepared to handle subsequent devastating effects.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"14 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142448412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"FGI-CogViT: Fuzzy Granule-based Interpretable Cognitive Vision Transformer for Early Detection of Alzheimer’s Disease using MRI Scan Images","authors":"Anima Pramanik, Soumick Sarker, Sobhan Sarkar, Indranil Bose","doi":"10.1007/s10796-024-10541-7","DOIUrl":"https://doi.org/10.1007/s10796-024-10541-7","url":null,"abstract":"<p>Early detection of Alzheimer’s disease (AD) is crucial for timely intervention and management of this debilitating neurodegenerative disorder. However, it demands further serious attention. State-of-the-art vision transformers for multi-class AD detection techniques cannot handle the uncertainty issue arising between various stages of AD. Moreover, AD identification based on magnetic resonance imaging (MRI) scans is likewise computationally expensive. Further, vision transformers used in AD detection often suffer from a lack of interpretability of results. To address these issues, a new vision transformer, namely Fuzzy Granule-based Interpretable Cognitive Vision Transformer (FGI-CogViT) is developed. It has three parts, namely feature extraction, fuzzy logic-based granulation, and I-CogViT-based classification. Various vision and statistical features are computed over the MRI scan image(s). The statistical features are used to obtain the disease-prone regions in terms of fuzzy granules. In these regions, uncertainty may arise among the different stages of AD. Fuzzy logic-based rules are defined to obtain the crisp granules. Instead of considering the entire image, statistical features corresponding to the crisp granules are added with vision features for classification tasks through the I-CogViT that consists of three modules, namely residual network, traditional vision transformer, and classification network. These characteristics improve the speed and accuracy of FGI-CogViT. It synergizes the robust feature extraction capabilities of vision transformers with cognitive computing principles, aiming to augment the model’s interpretability. The efficacy of the FGI-CogViT has been demonstrated over 6,460 MRI scan images. Results reveal that FGI-CogViT outperforms some state-of-the-art. Furthermore, robustness checking and statistical significance testing support the findings.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"85 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142440235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Khaled Alshare, Murad Moqbel, Mohammad I. Merhi, Valerie Bartelt, Maliha Alam
{"title":"The Impact of Cultural Dimensions and Quality of Life on Smartphone Addiction and Employee Performance: The Moderating Role of Quality of Life","authors":"Khaled Alshare, Murad Moqbel, Mohammad I. Merhi, Valerie Bartelt, Maliha Alam","doi":"10.1007/s10796-024-10544-4","DOIUrl":"https://doi.org/10.1007/s10796-024-10544-4","url":null,"abstract":"<p>Smartphones, while ubiquitous and beneficial, can lead to problematic use. This study investigates the intricate interplay between cultural dimensions, smartphone addiction, and employee performance. Through the lens of distraction theory, attachment Theory, coping theory combined with Hofstede's cultural dimensions, and self-regulation theory and quality of life, we examine how collectivism, individualism, uncertainty avoidance, and masculinity cultural dimensions influence smartphone addiction and its subsequent effect on employee performance. The findings, based on data collected from 233 employees at a major medical center in the Midwest region of the USA and employing structural equation modeling, reveal a significant cultural influence on smartphone addiction, ultimately leading to a decline in performance. However, quality of life emerges as a crucial moderator, mitigating the negative impact of smartphone addiction. This research offers valuable insights for information systems scholars, highlighting the importance of cultural context in understanding smartphone addiction. Furthermore, the study equips managers with practical knowledge to address smartphone addiction within a culturally diverse workforce. By implementing strategies that enhance employee quality of life, organizations can foster a more productive and engaged work environment.</p>","PeriodicalId":13610,"journal":{"name":"Information Systems Frontiers","volume":"27 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142363115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}