Information & Management最新文献

Information security is heightened when employees develop a strong sense of information stewardship for information assets, a form of organizational citizenship behavior, suggesting that compliance should be perceived as a symbiotic relationship between organizations and employees. We conducted a field study by collecting multi-source, match-paired survey data from 487 employees paired with their supervisor's ratings. Results showed that affective commitment, job satisfaction, perceived organizational support, and social influence were positively related to compliance behavior. This research contributes to the information security literature by showing that employees with strong organizational bond are more likely to exhibit higher levels of security policy compliance.

Process models are structured representations of workflows in an organization that provide a powerful tool for facilitating communication and process redesign or improvement. Model comprehension is challenging for beginning modelers. This study scrutinizes the effect of token-animated process models on novice modelers’ comprehension in an experiment with 229 participants. The study is grounded in the theory of distributed cognition as well as other cognition theories. The results confirm the significant impact of token-animated models on comprehension. Several individual characteristics were found to be important as well. Given that the animations were well accepted, token animation can be considered a resourceful technique for pragmatic and educational purposes.

We examine the effects of facial attractiveness stereotyping in reward-based crowdfunding decisions. Our findings indicate that to a certain extent, a project creator's facial attractiveness is a valid heuristic cue that influences the evaluation of the project's future potential. Based on a large dataset, we propose a U-shaped relationship between project creators’ facial attractiveness and crowdfunding performance. The results imply that potential backers believe that projects initiated by creators whose facial attractiveness is either high or low (vs. medium) have greater future potential, leading to better crowdfunding performance. Additionally, we find that the effects of attractiveness are moderated by the narrative person used in the project introduction and by project updates on the project's progress schedule. Specifically, the U-shaped effect is stronger when attractive (vs. less attractive) project creators describe their projects in first- (vs. third-) person narration, and the effects of facial attractiveness are also enhanced by project updates. Our findings suggest that facial attractiveness is an actionable funding tool, thereby extending our understanding of the complex effect of facial attractiveness in funding.

Pandemics like COVID-19 disrupt conventional healthcare services, pushing toward smart and connected health solutions including mobile healthcare applications. However, the dynamics of disruptive events influencing smart health service adoption are not well-understood. By incorporating the concept of event disruption into cognitive appraisal theory, this paper develops a research model on how individuals’ event appraisals (event disruption and event threat) interact with coping appraisals (response efficacy and self-efficacy) of smart and connected health services in driving their future usage of smart and connected health services as a coping method. We tested the model using a mixed-methods approach with quantitative and qualitative data. First, we conducted an online survey to collect quantitative data from individuals with experience in using smart and connected health services. The results showed that the moderating effect of the cognitive appraisals of an external event stimulated the usage of smart and connected health services. We then collected archival qualitative data via multiple social media platforms during the COVID-19 pandemic to cross-validate the results of the quantitative study. Implications for theory and practice are discussed.

For better governance, information systems development (ISD) projects are often decomposed ex ante, using client requirements, to create self-contained modules. Following such a modular approach allows independent and efficient structuring of ISD project work. However, given the integrated nature of ISD work, maintaining information flows across the different modules within ISD projects is essential. Through an in-depth examination of six ISD projects, we discover four types of requirements information interdependencies across ISD project modules. Next, we identify appropriate control portfolios for governing the different types of inter-modular requirements information interdependencies. Results indicate that different types of requirements information interdependencies necessitate governance through varying control portfolios. Our study contributes to the ISD literature by identifying the nuanced mechanisms through which requirements information interdependencies could be better governed by applying appropriate control portfolios. Our study also offers significant practical implications for ISD project governance.

Successful public service projects are few. An extreme case in this study shows that the performance of a public service project in Beijing adopting a platform not only meets but goes beyond the expectations of the policy designer. Existing studies on platforms focus on the impact of a platform from a static perspective in information systems studies, but have not investigated the transformational process where a platform was built and functioned. A platform development and governance model was developed. Our findings suggest that in a public service project, (1) working as a technological tool, the platform built through contextual pressures, authorized and technological capacities of multiple stakeholders affected the roles of the government and social sector entities, and then reorganized the services to reduce corruption risks and standardized actions to better serve the people; and (2) working as a meta-organization, the platform was built through the authorized and link-building capacities of stakeholders. It integrated multiple stakeholders to better serve the people and calmed conflicts and catalyzed innovations to build norms to regulate actions and offer better service. The above governance factors promoted the multi-oriented performance of the project. In the course of generating the grounded model, we clarify the key factors in the dynamic process of how a platform works.

The proliferation of third-party platforms has led to the same product or service appearing across multiple platforms. To facilitate consumers' purchase decisions, it is essential to rank products based on online ratings from various platforms. However, ranking such products poses challenges due to discrepancies across platforms. In this paper, we propose a model for ranking products based on the evidential reasoning approach. The proposed model aims to overcome these challenges by determining a finite set of possible hypotheses, with the power set containing all possible subsets and a basic probability assignment (BPA) based on the distribution of ratings on a given platform. The model then calculates the weight of each platform and adjusts the BPA using the importance discounting method. It combines discounted BPAs using the proportional conflict redistribution rule number 5. The belief structure is then transferred into a score to rank alternatives. Finally, we validate our model by ranking hotels in Hong Kong, China, collected from popular platforms such as TripAdvisor, Agoda, Booking.com, Expedia, and Trip.com. Our case study demonstrates that our model leverages evidence combination to neutralize inconsistent information across platforms and maintain consistent opinions.

Resistance has historically been considered a salient obstacle to the implementation of information systems, including healthcare information technology. However, artificial intelligence in health care (AIH) reshapes the relationships among technologies, physicians, and patients, and the nature of resistance has thus been transformed. To gain a comprehensive understanding of this phenomenon, this study systematically examines resistance to AIH across health care providers and recipients by reviewing 94 articles. Combining innovation resistance theory and the sociotechnical perspective, we develop an overarching framework to synthesize research and provide agendas for future research. This study constitutes an initial guideline for understanding resistance to AIH.

The digital entrepreneurial ecosystem is a complex and dynamic network of entrepreneurs, businesses, institutions, and systems that use digital technology to interact with one another. It is conducive to the creation, development, and sustainment of innovation in digital ventures. However, the building blocks of any digital entrepreneurial ecosystem remain loosely integrated and under-orchestrated in the early stages of its evolution. The entrepreneurial organizations that act as matchmakers and transaction catalysts have thus come to play significant roles in digital entrepreneurial ecosystems’ functioning, but the understanding of these roles remains relatively limited. Through an in-depth qualitative study of the organizational category observed within multi-channel network (MCN) organizations, a new type of intermediary role was identified and conceptualized as that of a facilitator in live streaming e-commerce, a new role in the digital entrepreneurial ecosystem. The findings suggest that the category emergence of facilitators is based on resource orchestration in the dimensions of people, goods, and scenes, enabled by three primary mechanisms: “novelty perception” (for category awareness), “exemplar projection” (for category scalability), and “structure shaping” (for category recognizability). The theoretical framework developed through this research contributes to the emergence of a new organizational category in the context of the digital economy, as well as offering practical guidance for the category strategy for venture growth in the digital entrepreneurial ecosystem.

The emergence of the sharing economy has led to a proliferation of novel platform-based business models in recent years. A particularly prominent type of platform is the C2B2C platform, but our knowledge of the development of these platforms is limited. Through an in-depth examination of the development of Airparking, one of China's most successful parking-space-sharing platforms, our study reveals that a C2B2C platform develops in a specific sequence across three phases, with distinct required actions and developmental outcomes. We have also identified the facilitating conditions that are conducive to this process.