From Omnipresent Network to Constant Connectivity: The Role of Psychological Needs and Social Norms

The omnipresent mobile networks, such as Wi-Fi, WLAN, and network provided by mobile operators, facilitate the whole world connected. Mobile technology users can access to the world with the networks, making them feel constant connection to others which predicts the perception of invasion. This study aims to explore the boundary condition of this relationship from two perspectives—individuals’ psychological needs and social norms. This study theorizes that psychological needs strengthen the effect of accessibility of omnipresent networks, while social norms weaken that effect. Data was collected from 223 employees with mobile technology usage in their work. The results support our justifications, and discussion and implications are also presented

BYOD IMPLEMENTATION: UNDERSTANDING ORGANIZATIONAL PERFORMANCE THROUGH A GIFT PERSPECTIVE

BYOD, which allows employees to bring their own mobile devices to work and connect into the corporation network, has been increasingly implemented by numerous organizations and corporations. Companies expect to save cost as well as increase productivity and employees’ morale through BYOD implementation. Hence, it is critical for companies to understand how BYOD affects organizational performance. Addressing on gift economy and cognitive evaluation theory, this study indicates the gift nature of BYOD and builds up a cross-level research framework which indicates two aspects of BYOD - informational aspect and controlling aspect. When informational aspect is perceived by employees, they will return positive outcomes, thereafter increase productivity and morale. In contrast to controlling aspect, negative outcomes will be returned and then decrease productivity and morale. A two-step mixed method approach will be conducted to test proposed research framework

Investigating the Non-Linear Relationships in the Expectancy Theory: The Case of Crowdsourcing Marketplace

Crowdsourcing marketplace as a new platform for companies or individuals to source ideas or works from the public has become popular in the contemporary world. A key issue about the sustainability of this type of marketplace relies on the effort that problem solvers expend on the online tasks. However, the predictors of effort investment in the crowdsourcing context is rarely investigated. In this study, based on the expectancy theory which suggests the roles of reward valence, trust and self efficacy, we develop a research model to study the factors influencing effort. Further, the non-linear relationships between self efficacy and effort is proposed. Based on a field survey, we found that: (1) reward valence and trust positively influence effort; (2) when task complexity is high, there will be a convex relationship between self efficacy and effort; and (3) when task complexity is low, there will be a concave relationship between self efficacy and effort. Theoretical and practical implications are also discussed

A Technology–Individual Contingency Perspective of Mobile Technostress: The Moderating Role of Personality

As one of the rapidly developing technologies, mobile technology brings employees not only the enhanced work effectiveness and efficiency but also some unexpected consequences such as the so called technostress which has been regarded as an increasingly serious issue in contemporary organizations. Despite prior studies have provided some interpretive and qualitative analysis on this issue, the empirical studies about how and when mobile technology features lead to technostress have been rarely developed. In this study, we proposed and empirically examined the impact of one key mobile technology feature namely presenteeism on technostress. More importantly, we further put forward that the relationship between technology characteristic and technostress was moderated by five personality factors namely extraversion, neuroticism, conscientiousness, agreeableness, and openness to experience by addressing the Five Factor Model (FFM) of personality. A survey on the employees with usage of mobile technologies in workplace was conducted to test the proposed research model and hypotheses. The key findings show that: (1) Presenteeism per se has no significant impact on technostress; (2) Three personality factors conscientiousness, agreeableness, and openness to experience are found to be significantly moderate the relationship between presenteeism and technostress while the other two does not. Contributions and implications of the study are also discussed

Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation

Cross-domain Recommendation (CR) has been extensively studied in recent years to alleviate the data sparsity issue in recommender systems by utilizing different domain information. In this work, we focus on the more general Non-overlapping Cross-domain Sequential Recommendation (NCSR) scenario. NCSR is challenging because there are no overlapped entities (e.g., users and items) between domains, and there is only users' implicit feedback and no content information. Previous CR methods cannot solve NCSR well, since (1) they either need extra content to align domains or need explicit domain alignment constraints to reduce the domain discrepancy from domain-invariant features, (2) they pay more attention to users' explicit feedback (i.e., users' rating data) and cannot well capture their sequential interaction patterns, (3) they usually do a single-target cross-domain recommendation task and seldom investigate the dual-target ones. Considering the above challenges, we propose Prompt Learning-based Cross-domain Recommender (PLCR), an automated prompting-based recommendation framework for the NCSR task. Specifically, to address the challenge (1), PLCR resorts to learning domain-invariant and domain-specific representations via its prompt learning component, where the domain alignment constraint is discarded. For challenges (2) and (3), PLCR introduces a pre-trained sequence encoder to learn users' sequential interaction patterns, and conducts a dual-learning target with a separation constraint to enhance recommendations in both domains. Our empirical study on two sub-collections of Amazon demonstrates the advance of PLCR compared with some related SOTA methods

Information Sharing Behavior in Social Commerce Sites: The Differences between Sellers and Non-Sellers

The rise of social media encouraged customers to share information more frequently and to larger extent. Previous work primarily focused on how and why customers share information in online social commerce sites. In the current study, we distinguish between the two types of users: sellers and non-sellers in social commerce sites. Drawing on the goal theory, we empirically examine intrinsic and extrinsic benefits as the key direct antecedents, and explore the moderating role of sellers/non-sellers in the relationship between intrinsic and extrinsic benefits and information sharing behavior. Analyzing survey data (n=1170) in the first phase collected from a popular social commerce site, we found that intention to share information among sellers and non-sellers are indeed different. This study can advance the understandings of information sharing literature by revealing the differences between different types of users. The results offer important and interesting insights to IS research and practice

The Role of Decision Rationality on Users’ Attitudes toward Utilitarian Mobile Service Usage

Organizations in various industries have emphasized the need to use mobile information and communication technologies (mICTs) to deliver utilitarian services. Firms need to understand how users make routine and unexpected use decisions in order for their utilitarian mobile services (UMSs) to gain market acceptance. In this study, we empirically tested a theoretical model that examined how both affective attitude and cognitive attitude influence both routine and unexpected UMS use and the role of decision rationality in the process. We tested our model using two independent empirical studies. The results show that affective attitude had a stronger effect than cognitive attitude on routine use, while cognitive attitude had a stronger effect than affective attitude on the unexpected UMS use. Furthermore, decision rationality weakened the effects that affective attitude had on both routine use and unexpected use but strengthened the effects that cognitive attitude had on the routine use of UMSs. Our results advance knowledge on: 1) users’ behaviors when they use UMSs, 2) the effect that attitude components have on use at different levels of decision rationality, and 3) the underlying mechanism for our mixed findings about the effect of both affective and cognitive attitudes. These findings also provide insights for practitioners on how to promote their services among consumers

An Empirical Investigation on the Impact of Crowd Participation on the Degree of Project Success: The Perspective of Crowd Capital

Fundraisers expect to raise as much funds as possible even after they have reached initial threshold of funding goal. This study focuses on the degree of project success defined as the total amount of funds a project can obtain after it is already successful (reached the initial threshold of funding goal). Drawing upon the theory of crowd capital, this study aims to explore the effect of the crowds—represented as crowd participation—on the degree of project success. Three types of crowd participation are identified, namely funds pledge, popularity creation, and on-site communication. We postulate that funds pledge will have an inverse U-shaped relationship with the degree of project success; while the other two factors will positively influence the degree of project success. Our empirical data from a reward-based crowdfunding platform supported our predictions for funds pledge and on-site communication. Future research and implications are discussed

Improved neonatal outcomes by multidisciplinary simulation—a contemporary practice in the demonstration area of China

BackgroundSimulation-based training improves neonatal resuscitation and decreases perinatal mortality in low- and middle-income countries. Interdisciplinary in-situ simulation may promote quality care in neonatal resuscitation. However, there is limited information regarding the effect of multidisciplinary in-situ simulation training (MIST) on neonatal outcomes. We aimed to investigate the impact of MIST on neonatal resuscitation in reducing the incidence of neonatal asphyxia and related morbidities.MethodsWeekly MIST on neonatal resuscitation has been conducted through neonatal and obstetrical collaboration at the University of Hong Kong-Shenzhen Hospital, China, since 2019. Each simulation was facilitated by two instructors and performed by three health care providers from obstetric and neonatal intensive care units, followed by a debriefing of the participants and several designated observers. The incidence of neonatal asphyxia, severe asphyxia, hypoxic-ischemic encephalopathy (HIE), and meconium aspiration syndrome (MAS) before (2017–2018) and after (2019–2020) the commencement of weekly MIST were analyzed.ResultsThere were 81 simulation cases including the resuscitation of preterm neonates of different gestational ages, perinatal distress, meconium-stained amniotic fluid, and congenital heart disease with 1,503 participant counts (225 active participants). The respective incidence of neonatal asphyxia, severe asphyxia, HIE, and MAS decreased significantly after MIST (0.64%, 0.06%, 0.01%, and 0.09% vs. 0.84%, 0.14%, 0.10%, and 0.19%, respectively, all P < 0.05).ConclusionsWeekly MIST on neonatal resuscitation decreased the incidence of neonatal asphyxia, severe asphyxia, HIE, and MAS. Implementation of regular resuscitation simulation training is feasible and may improve the quality of neonatal resuscitation with better neonatal outcomes in low- and middle-income countries