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While artificial intelligence (AI) has shown its promise in assisting human decision, there exist barriers to adopting AI for decision-making. This study aims to identify barriers in the adoption of AI for automated organisational decision-making. AI plays a key role, not only by automating routine tasks but also by moving into the realm of automating decisions traditionally made by knowledge or skilled workers. The study, therefore, selected respondents who experienced the adoption of AI for decision-making.

The study applied an interpretive paradigm and conducted exploratory research through qualitative interviews with 13 senior managers in South Africa from organisations involved in AI adoption to identify potential barriers to using AI in automated decision-making processes. A thematic analysis was conducted, and AI coding of transcripts was conducted and compared to the manual thematic coding of transcripts with insights into computer vs human-generated coding. A conceptual framework was created based on the findings.

Barriers to AI adoption in decision-making include human social dynamics, restrictive regulations, creative work environments, lack of trust and transparency, dynamic business environments, loss of power and control, as well as ethical considerations.

The study uniquely applied the adaptive structuration theory (AST) model to AI decision-making adoption, illustrated the dimensions relevant to AI implementations and made recommendations to overcome barriers to AI adoption. The AST offered a deeper understanding of the dynamic interaction between technological and social dimensions.

The purpose of this paper is to examine the implementation of IT portfolio management (IT PoM) and develop a framework guided by adaptive structuration theory to describe the key structures, features, and appropriation steps needed to effectively manage IT investments and assets.

Using a longitudinal case study approach, data were collected over an eight-month period from a US Fortune 500 company during its IT PoM implementation effort.

The case analysis highlights three major IT PoM features appropriated by the organization: creating the portfolio; assessing and analyzing the portfolio characteristics based on risk, benefits, alignment, criticality, and cost; and balancing decisions to start projects or terminate under-performing IT assets such as servers and applications. The spirit of IT PoM was interpreted differently by different stakeholders (data providers, business units, and IT PoM team) leading to resistance to implementation. The case data underscores the importance of establishing a governance steering committee and new internal structures to help push the balancing decisions across the organization.

The results are useful in developing guidelines and strategies to achieve successful implementation of IT PoM and to highlight critical factors that practitioners need to pay close attention to during an IT PoM implementation.

This study represents one of the first attempts to describe a detailed IT PoM implementation process and how IT PoM appropriation process can lead to improved decision making within the organization.

This study aims to examine the impact of task interdependence, communication medium, and sequence of conditions on trust in virtual teams.

A pilot experiment was conducted using 22 subjects in eight groups with a mixed 2×2 design. A within‐groups method with repeated measures was used to explore time pressure and task complexity, communication medium and individual perceptions of trust. A between‐groups method was used for sequence of conditions. The four study conditions were: a simple task in a face‐to‐face condition; a complex task in a face‐to‐face condition; a simple task in a computer‐mediated condition; and a complex task in a computer‐mediated condition. Groups were randomly assigned to a starting condition. Each group was rotated through all the conditions. Following each condition, subjects completed the modified Jarvenpaa‐Knoll‐Leidner trust measure assessing their individual perception of trust for that condition.

Significant effects were found on the relationships between the communication medium and condition sequences of task interdependence and communication medium on individual perceptions of trust. No significant effects were found on the relationship of task interdependence and individual perceptions of trust.

The sample size makes the study more descriptive than inferential.

This study intends to add to the trust literature by examining the impact of task interdependence, communication medium, and sequence of conditions on trust in virtual teams. Its primary contribution is the sequence of conditions on trust. The trust affect of condition sequence is linked to task interdependence, communication predictability, and adpative structuration theory.

The objective of this research is to examine the accelerated adoption mechanisms of emerging technologies in information systems. Its goal is to comprehend the drivers behind the prompt assimilation of technology trends such as TikTok, ChatGPT, mobile payment schemes, cryptocurrency and VR.

The study follows the systematic literature review methodology (using the PRISMA protocol to guide the selection of scholarly materials from Google Scholar, Scopus and Springer). Specifically, the research draws on identified literature on the adoption trajectories of technologies (ChatGPT, TikTok, cryptocurrency, mobile payment systems, and virtual reality) to systematically assess pertinent insights, and draws on theoretical lenses of Disruptive Innovation Theory to reach interpretations.

The study indicates that the prompt assimilation of technology is shaped by several variables such as user-centered design, network effects, content powered through algorithms, viral trends, ease-of-use and accessibility features, engagement levels and retention rates.

The selection of specific platforms may limit the generalizability of findings.

The emergence of new technologies is causing a shift in societal behaviors and norms, which has significant social implications. While platforms such as TikTok offer opportunities for community-building, there are concerns regarding digital divide and privacy issues that need to be addressed. So understanding the impact of these changes becomes vital for achieving fairness in access and making technology's potential transformation practicalized effectively.

This research enhances the current body of literature by presenting a thorough examination of the non-linear patterns involved in adopting advanced technologies. By combining knowledge from numerous fields, this study delivers an integrated comprehension regarding what factors prompt swift adoption.

Organization efforts in groups generate interaction and procedural structures, or “rules of behavior”. The type and extent of structuring are affected by preexisting preferences among group members for a desired degree of procedural order, as well as by the communication media available in the meeting environment. Analysis of thirty partially‐distributed groups that met over a series of four sessions was conducted by using two methods. Questionnaires were administered to ascertain perceptions of satisfaction and procedural practices. Content analysis was used to determine actual procedural behavioral patterns. It appears that preferences for procedural order does affect structuring behaviors, but do not affect their satisfaction with the group process. Interestingly, and counter to the expectations elicited from a history of media richness theory and studies, results here indicate that interaction media (video conferencing vs. audio conferencing) have no affect on either members’ perceptions of procedural structuring, their satisfaction, or their actual procedural structuring practices. Implications of these results are discussed.

This chapter focuses on techniques and technologies to aid groups in making decisions, with an emphasis on computer-based support. Many office workers regularly meet colleagues and clients in virtual meetings using videoconferencing platforms, which enable participants to carry out tasks in a manner similar to a face-to-face meeting. The development of computer-based platforms to facilitate group tasks can be traced back to the 1960s, and while they support group communication, they do not directly support group decision making. In this chapter we distinguish four technologies developed to provide support to group decisions, clustered into two main traditions. Technologies in the task-oriented tradition are mainly concerned with enabling participants to complete tasks to solve the group's decision problem via computer-supported communications. Group Decision Support Systems and social software technologies comprise the task-oriented tradition. Alternately, in the model-driven tradition, participants use computers to build and use a model that acts as a referent to communicate, mostly verbally, about the group's decision problem. System modeling and decision-modeling technologies constitute the model-driven tradition. This chapter sketches the history and guiding ideas of both traditions, and describes their associated technologies. The chapter concludes with questioning if increased availability of online tools will lead to increased use of group decision support technologies, and the differential impact of communication support versus decision support.

Although resilience is heavily studied in both the healthcare and organizational change literatures, it has received less attention in healthcare information technology (HIT) implementation research. Healthcare organizations are consistently in the process of implementing and updating several complex technologies. Implementations and updates are challenged because healthcare workers often struggle to perceive the benefits of HITs and experience deficiencies in system design, yet bear the brunt of the blame for implementation failures. This combination implores healthcare workers to exercise HIT resilience; however, how they talk about this construct has been left unexplored. Subsequently, this study explores healthcare workers' communicative constitution of HIT resilience.

Twenty-three physicians (N = 23), specializing in oncology, pediatrics or anesthesiology, were recruited from one healthcare organization to participate in comprehensive interviews during and after the implementation of an updated HIT system DIPS.

Thematic analysis findings reveal physicians communicatively constituted HIT resilience as their (1) convictions in the continued, positive developments of newer HIT iterations, which marked their current adaptive HIT behaviors as temporary, and (2) contributions to inter-organizational HIT brainstorming projects in which HIT designers, IT staff and clinicians jointly problem-solved current HIT inadequacies and created new HIT features.

Offering both practical for healthcare leaders and managers and theoretical implications for HIT and resilience scholars, this study's results suggest that (1) healthcare leaders must work diligently to create a culture of collaborative HIT design in their organization to help facilitate the success of new HIT use, and (2) information technology scholars reevaluate the theoretical meaningfulness a technology's spirit and reconsider the causal nature of a technology's embedded structures.

Billions of entrepreneurs at the Base of the Pyramid (BoP) operate as small-scale producers within multi-tiered supply chain networks. Unfortunately, a majority of these entrepreneurs are simply unable to derive sufficient value from the network and are vulnerable to disasters and poverty. The purpose of this paper is to develop a typology that examines dynamic and triadic power relationships in order to create value chains for BoP producers.

This paper builds upon the available literature and a relevant historical case study to develop a typology. The validity of the typology is ascertained by examining and comparing two current BoP silk weaver communities in India.

The typology captures essential environmental variables and relates them to mediated and non-mediated forms of power which, in turn, shape the value derived from the supply chain network.

The typology provides specific recommendations for BoP producers, such as the formation of cooperatives, engaging in political unionization and ensuring that their social networks expand beyond local communities.

The typology brings together structuration theory and power and provides a framework for understanding supply value. This typology is generalizable to dynamic multi-tiered supply chain networks.

This chapter addresses a lack of theory building in electronic-HRM (e-HRM) research and attempts to contribute with a (re-)conceptualisation of e-HRM as a nexus of practices and their material arrangements.

The work draws on theories from information systems research, science and technology studies, and sociology and organisation studies.

The (re-)conceptualisation indicates that future research should make further enquiries into the role of human agency and political processes in e-HRM.

As a methodological pathway a combination of ethnography and philosophical hermeneutics is proposed, enabling the achievement of a required pertinent sensibility in the study of social practices and human intentionality. Action research is also considered to be relevant for an engaged e-HRM scholarship.

The social implication of this research is the advancement of theories that emphasise the importance of human agency, morality and materiality in organisational processes.

The conceptualisation may thus facilitate research that reveal insights about involvement, reciprocity and power in e-HRM projects – knowledge that can direct the development of e-HRM project teams and thus facilitate strategic HRM.

This chapter points out that the use of a wide range of theoretical paradigms in marketing research requires researchers to use a broad range of methodologies. As an aid in doing so, the chapter argues for the use of case study research (CSR), defines CSR, and describes several CSR theories and methods that are useful for describing, explaining, and forecasting processes occurring in business-to-business (B2B) contexts. The discussion includes summaries of six B2B case studies spanning more than 60 years of research. This chapter advocates embracing the view that learning and reporting objective realities of B2B processes is possible using CSR methods. CSR methods in the chapter include using multiple interviews (2 + ) separately of multiple persons participating in B2B processes, direct research and participant observation, decision systems analysis, degrees-of-freedom analysis, ethnographic-decision-tree-modeling, content analysis, and fuzzy-set qualitative comparative analysis (fs/QCA.com). The discussion advocates rejecting the dominant logic of attempting to describe and explain B2B processes by arms-length fixed-point surveys that usually involve responses from one executive per firm with no data-matching of firms in specific B2B relationships – such surveys lack details and accuracy necessary for understanding, describing, and forecasting B2B processes.