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How to embed artificial intelligence (AI) in human resource management (HRM) is one of the core challenges of digital HRM. Despite regulations demanding humans in the loop to ensure human oversight of AI-based decisions, it is still unknown how much decision-makers rely on information provided by AI and how this affects (personnel) selection quality.

This paper presents an experimental study using vignettes of dashboard prototypes to investigate the effect of AI on decision-makers’ overreliance in personnel selection, particularly the impact of decision-makers’ information search behavior on selection quality.

Our study revealed decision-makers’ tendency towards status quo bias when using an AI-based ranking system, meaning that they paid more attention to applicants that were ranked higher than those ranked lower. We identified three information search strategies that have different effects on selection quality: (1) homogeneous search coverage, (2) heterogeneous search coverage, and (3) no information search. The more applicants were searched equally often (i.e. homogeneous) as when certain applicants received more search views than others (i.e. heterogeneous) the higher the search intensity was, resulting in higher selection quality. No information search is characterized by low search intensity and low selection quality. Priming decision-makers towards carrying responsibility for their decisions or explaining potential AI shortcomings had no moderating effect on the relationship between search coverage and selection quality.

Our study highlights the presence of status quo bias in personnel selection given AI-based applicant rankings, emphasizing the danger that decision-makers over-rely on AI-based recommendations.

The purpose of this paper is to clarify the influence of status quo on information system (IS) adoption. Organizations often substantially allocate resources to leverage existing IT investments. The incumbent system deployment and the institutional environment will exert the influence on the new IS adoption of firms. The findings provide insights for explaining why firms conservatively react toward an emerging IT innovation.

The research design of the present study is consisted of the following steps. First, the related theoretical foundations of system adoption are reviewed for constructing the research framework. Second, based on the status quo bias theory, this study proposes a conceptual model. Third, the research data set was constructed through collecting manuscripts by conducting journal-by-journal searching in electronic databases. Finally, the protocol proposed by Lipsey and Wilson (2001) was used to conduct the meta-analysis.

Through a meta-analysis with 34 published studies, this study provides three observations. First, the results provide supports for the magnitude and significance of proposed relationships. Second, the relationships between status quo factors, expectations, and IS adoption are indeed related. Third, the considerable variability across effect sizes can be attributed to the type of adoption, the type of focal system, and the type of institutional pressures.

Although the meta-analytic results provide supports for the significance and magnitude of proposed relationships, the follow-up manuscripts searching and further analyses are needed.

This research presents a collective understanding of systems adoption from status quo bias perspective. The findings provide insights for further researches on IS adoption.

The purpose of this study is to examine the behaviour of retail investors while making an investment decision and how it gets affected by the behavioural biases of the investors using a moderated-mediation framework.

A mixed method approach has been used to fulfil the objectives of the study. In the first study, a qualitative analysis of the interviews with 15 retail investors was conducted. As part of the quantitative study, a total of 201 responses from Indian retail investors were collected using systematic sampling and analysed using structural equation modelling and Process Macro.

The results indicate that anchoring bias, availability bias, herding bias, switching cost, sunk cost, regret avoidance and perceived threat have a significant effect on retail investors’ investing intention. The attitude of the investors towards investing decisions mediates the effects of behavioural bias and the status quo on investment intention. The results of the moderated-mediation analysis indicate that mediating effect of attitude varied at the low and high-risk aversion of investors.

The findings of this study will help regulators and retail investors to understand the critical behavioural biases which affect the investors’ investing intention.

The paper contributes to the literature on investors’ behaviour, status quo bias theory (SQB) and behavioural bias. This study uniquely proposes a moderated-mediation framework to understand the effects of biases on retail investors’ investment intention.

The article provides a conceptual replication and enrichment of the status quo bias theory in the specific context of understanding IT department user resistance and user adoption. The findings can assist technology renewals and associated change management professionals to assess and plan the adoption and active usage of human resource systems.

The authors used survey method to gather data. All items were based on prior literature. They administrated the survey to employees of GOODTECH (name changed), information systems (IS) department members, situated in France. They obtained 103 valid responses along with usage data from the system to run their path model, in order to validate the proposed research model.

The study offers an enriched user resistance model (URM) to understand why IT-savvy employees would resist or adopt new human resource tools. Apart from providing partial validity to status quo bias theory in the French context, the enriched model uses behavioral intention to use as an intermediate variable to explain the influence of two key constructs of the original theory: switching cost and switching benefits. This research provides a better explanatory power to understand the cause of user resistance and new IT use.

The sample size used in the study can be considered as a limitation, although power analysis reveals that the results are significant and valid. The context of the study is also limited to one country and to a specific type of IS implementation scenario. Since the purpose of the paper was to offer contextual theory enhancement, the findings are valid for this purpose.

Digital project managers are offered a framework to increase technology adoption of new human resource tools and evaluate how to reduce user resistance at times of technology renewals. Self-efficacy for change and colleagues’ opinion can indirectly impact behavioral intention to use via switching cost and switching benefit perceptions and thus reducing resistance perceptions as well as increasing adoption of new IT tools in post-implementation phases.

The paper enriches the well-established user resistance theory in IS domain in a context of human resource post-implementation phase by studying IT-savvy end user's perceptions. The paper demonstrates the need to integrate user adoption and user resistance variables in one parsimonious framework and extends support to emerging research on dual focus perspective.

Shopping statistics indicate that online shoppers prefer purchasing products using the desktop website of the retailer, rather than using the mobile website on a mobile phone to purchase products (mobile website purchasing). Therefore, using status quo bias theory, this study aims to investigate mobile website purchasing resistance of those customers using only desktop website purchasing.

To test the conceptual model an online questionnaire was used to collect data from customers purchasing products using only the desktop website on a computer (n = 484) and not the retailer’s mobile website.

Due to cognitive dissonance, customers using only desktop purchasing trivialize mobile website purchasing perceived attractiveness while perceiving more cognitive effort in mobile website purchasing to maintain consonance with their inertia. Further, relative advantage perceptions of mobile website purchasing lead to more trivialization of mobile website purchasing attractiveness perceptions. Desktop purchasing inertia enhances resistance through alternative attractiveness and cognitive effort perceptions, respectively, and cognitive effort and alternative attractiveness perceptions in serial. Desktop purchasing habit has the strongest positive influence on desktop purchasing inertia.

This study was conducted in a high-involvement product context. Replication in a low-involvement product context is necessary to confirm the robustness of the results.

Retailers can use the findings to develop strategies to lower mobile website purchasing resistance in an online-mobile concurrent channel environment.

The study provides novel insights into mobile website purchasing resistance in an online-mobile concurrent channel environment. Further, the study addresses the gap in research on inertia and switching costs in the adoption of concurrent channels.

The purpose of this paper is to investigate the rationality of the decision making of residential developers in Thailand. Exploring its implications in the residential development field, the researchers propose the famous prospect theory as the primary cause of developers’ incompetent decisions during the pre-development stage of residential development.

The methodologies used in this research include literature review, expert interview, and experimental questionnaire.

The results show that Thai developers exhibit all five aspects of prospect theory: loss aversion, fourfold pattern, bias from rare events, mental accounting, and preference reversals (PR); however, in contrast to previous literature, the researchers found that Thai developers always choose to receive gains, and usually make risky choices to avoid losses, even if the risk of loss is low. Moreover, status quo bias has a low influence on Thai developers: they tend to become attached to the areas they develop, but remain flexible in selecting a project type that fits the land. In addition, PR and the framing effect affect only some groups of developers.

This research provides awareness to professionals in the residential development field to make sound judgements, using Thailand as a case study.

This paper reveals the existence of the unproven prospect theory in the residential development field using an empirical study in Thailand as a case study.

This paper aims to focus on why some practitioners in learning disability services resist implementing evidence-based approaches, such as positive behaviour support, despite its benefits.

Status quo bias theory was used to explain why practitioners choose existing practices over evidence-based approaches despite the negative consequences to their well-being.

Staff members’ decision to maintain the status quo should not be based solely on a cost–benefit analysis, as is commonly believed, as several factors influence it.

This lies on the development of leadership action based on the factors that influence staff's decision making in favour of the status quo.

This study proposes a research model to identify the relevant constructs of employee resistance and symbolic adoption in pre-implementation stage of enterprise resource planning systems in manufacturing industries, drawing suitable support from the existing body of literature. The proposed model is a combination of the status quo bias theory and absorptive capacity theory to measure employee resistance that negatively lead to symbolic adoption of a user.

This research used a self-administered questionnaire to survey 221 participants from five organizations in the manufacturing industry, all working towards deploying enterprise resource planning (ERP) systems.

The results show that factors contributing to status quo bias and absorptive capacity impact end-user grumbling. Furthermore, end-user grumbling affects symbolic adoption substantially.

This study provides researchers, practitioners and ERP vendors a broader overview of employees' resistance and motivation for using newly deployed systems.

In the past two decades, both practitioners and academicians are investigating the technical and non-technical features that assist end-users to adopt the system. Information system theories center on the post-deployment stage, with rare attempts to identify users' resistance and mental willingness to accept technology in the pre-adoption phase, which is very crucial for the success of ERP.

The study intends to evaluate students’ intention to shift from cash payment to mobile payment system for academic fee payments through push, pull and mooring framework. Push factors comprise risk and service-related factors, pull factors consist of subjective and aspect-based factors and mooring factors include cost and cognitive factors.

Sample of the study consists of around 296 undergraduate and postgraduate students from different higher educational institutions located in India. The questionnaire for data collection comprises 21 Likert scale-based items distributed among seven constructs. Partial least square structural equation modeling is used to identify the significant factors influencing students’ intentions.

Five of the factors, namely, risk, service, subjective, aspect and cognitive significantly influence student’s intention to switch to mobile payment system for academic fee payments. Moderation analysis indicates that the impact of the push and pull factors on switching intention towards mobile payments has a more positive influence among male students.

This study is probably the only study that tested the specific push, pull and mooring factors influencing intention to switch to mobile payment from cash payment in the Indian education system based on the incentive, Fogg behavior and status quo bias theory for academic fee payment.

The adoption of mobile payment remains low in certain regions, highlighting the need to identify the factors that enable and inhibit its adoption. This study aims to address this gap by investigating the role of information security, loss aversion and the moderating influence of the herd effect on Inertia and behavioral intentions in the adoption of mobile payment systems.

A structural equation model was developed and tested with 332 valid questionnaires to examine the proposed hypotheses.

The empirical results reveal that information security plays a significant role as an enabler, while loss aversion acts as an inhibitor of mobile payment adoption. Furthermore, the study uncovers the moderating influence of the herd effect on the relationship between Inertia and behavioral intentions.

This study was conducted in a specific region and may not be generalizable to other regions. Future studies could expand the sample size and scope to enhance the external validity of the findings.

This study offers practical implications for mobile payment service providers. Understanding the key enabling and inhibiting factors identified in this study can guide providers in designing and improving their services. Strengthening information security measures can help build trust among potential adopters, while offering incentives can mitigate the impact of loss aversion and encourage early adoption.

The findings of this study have social implications as they contribute to promoting the adoption of mobile payment systems. Increased adoption can enhance financial inclusion and stimulate economic development.

This study provides novel insights into the enabling and inhibiting factors of mobile payment adoption and highlights the moderating role of the herd effect. By shedding light on the influence of social norms on individual behavior in the context of mobile payment adoption, this study contributes to the existing literature and advances our understanding of this phenomenon.