Journal of Enterprise Information Management最新文献

Purpose

This study aims to explore the factors that influence the development of big data analytics capabilities (BDAC) in organizations, an area that has received limited attention in the academic literature.

Design/methodology/approach

Employing partial least squares structural equation modeling, this research scrutinizes the interconnections between various antecedents and BDAC. Notably, it examines the mediating roles of organizational culture (OC) and digital maturity (DM) in the nexus between managerial data orientation and BDAC.

Findings

Analysis indicates that OC and DM play crucial roles in enhancing the efficacy of managerial data orientation on BDAC. The sequential mediation by these factors underscores the importance of nurturing an appropriate OC and advancing DM to optimize the benefits of managerial data orientation towards BDAC.

Practical implications

The findings bear significant implications for organizational practice. They underscore the necessity of enhancing managerial analytical skills and commitment to digital transformation. Furthermore, the study highlights the critical need for aligning OC with strategic objectives and the digital context. The formulation of a cultural strategy that advocates for a data-driven mindset and champions digital initiatives is essential for fostering BDAC development, thereby bolstering organizational performance and competitiveness in the big data era.

Originality/value

This study enriches the body of literature by illuminating the overlooked antecedents of BDAC. It extends the discourse on the human-centric aspects of digital transformation, offering insights into how managerial data orientation can be effectively translated into improved BDAC. This innovative angle deepens our comprehension of the strategies through which organizations can leverage big data technology for value creation and informed decision-making, emphasizing the pivotal role of OC and the requisite digital competencies and resources.

Purpose

This research aims to uncover how the adoption process of a mobile payment solution unfolds in its local use. We examined micro-enterprises’ adoption of UPI-based payment system in India.

Design/methodology/approach

We employed an ethnographic approach to study the micro-entrepreneurs’ daily practice and adopted a relational ontology to conduct an “in-practice” enquiry of the UPI payment adoption process.

Findings

Applying the practice perspective of Technology Affordances and Constraints Theory, we found that UPI adoption was shaped through a dynamic interplay of emerging affordances and constraints. New features, such as All-in-one QR, enabled actions like cross-platform money transfer but also introduced challenges like fraud. Advancements in the technology addressed previous challenges but also created new hurdles. This cycle of evolving affordances and constraints within the contextual use of UPI payment technology shaped its adoption process.

Research limitations/implications

The findings contribute to the existing body of mobile payment literature by elucidating the role of localized and ongoing enactment of affordances and constraints. Unlike existing adoption theories, using relational concepts of affordances and constraints revealed how the integration of mobile payment into practice leads to emergent use patterns and widespread adoption.

Practical implications

We emphasize the need for solutions that address localized challenges and contextual needs. The study advises policymakers to consider technology’s benefits and limitations in interventions.

Originality/value

The study offers a unique view on mobile payment adoption, highlighting the role of technological materiality and temporality. It reveals how the changing materiality of technology shapes the adoption process through localized affordances and constraints.

Purpose

Enterprise Risk Management (ERM) is a strategy and approach that enables organizations to manage risk strategically from a systems standpoint. The ERM assists businesses in structuring their systems to generate strategic flexibility (SF), which leads to increased firm performance (FP) through strategic enterprise management (IS-SEM) and strategic momentum (SM).

Design/methodology/approach

The study is based on data gathered in Brazil and India. The complex link was discovered using partial least square structural equation modeling (PLS-SEM) using 330 Brazilian and Indian sample sizes.

Findings

The findings show that ERM influences IS-SEM and SM, which improves SF and FP. Furthermore, the study claims that IS-SEM can help improve strategic momentum and flexibility in the face of environmental uncertainty (ENU). Thus, it indicated that specific combinations of ENU connected with ERM and IS-SEM lead to obtaining high and extremely high levels fuzzy set qualitative comparative analysis (fsQCA) post hoc analysis of strategic momentum and flexibility.

Practical implications

The findings help executives understand how ERM and accounting information systems (AIS) can help achieve SM and SF, hence promoting FP in situation specific ENU setups in developing economies. The findings enhance executives' comprehension of how ERM and IS-SEM can significantly contribute to achieving SM and SF, thereby driving FP in the situation-specific ENU configurations in developing economies.

Originality/value

Research indicated that specific combinations of (ENU) connected with ERM and IS-SEM lead to obtaining high and extremely high levels fuzzy set qualitative comparative analysis (fsQCA) post hoc analysis of strategic momentum and flexibility.

Purpose

Manufacturing enterprises have started to offer the “outcome” derived from machines with the help of outcome-based contracts (OBCs). Offering OBCs leads to benefits such as increased revenues, stronger customer relationships and sustainability. However, implementing OBCs requires critical capabilities. Existing literature has focused on identifying these necessary capabilities, but the prioritization and interrelationships among them remain unexplored. This study aims to address this gap.

Design/methodology/approach

Our study employs a hybrid analytical hierarchy process and interpretative structural modeling approach to prioritize and map interrelationships among OBC-related capabilities within small and medium-sized enterprises (SMEs).

Findings

The findings highlight the importance of digitalization capabilities such as data privacy and security, remote monitoring, and data analytics; and organizational and governance capabilities, including quantifying, controlling, and monitoring risks, teamwork, and leadership, are highlighted.

Research limitations/implications

We quantitatively prioritize OBC capabilities and establish their level-wise structural interrelationships, which will facilitate a more effective and efficient implementation of OBCs. Due to the emergent nature of OBCs, our study could identify just one SME case company meeting our selection criteria.

Originality/value

Existing OBC literature focusses on the design of OBCs in large companies. Similarly, earlier capability-related OBC literature is oriented toward identifying the OBC capabilities to perform specific functions. However, in the current study, we propose a systematic decision-making approach that comprehensively prioritizes and identifies the interrelationships among the capabilities necessary to provide OBCs, thus complementing the existing scientific literature on OBCs. In addition, we focus on SMEs, that have specific limitations and characteristics.

Purpose

Metaverse is one of the decade’s most exciting and transformative technological innovations. While the metaverse holds immense promise, it has potential risks and dark sides. This research aims to investigate and identify the crucial dark dimensions associated with the metaverse platforms.

Design/methodology/approach

Employing a qualitative phenomenological methodology, the authors interviewed 45 metaverse users to unravel dark dimensions related to the metaverse. Analyzing the themes extracted from the participants' insights revealed an alignment with the underpinnings of the Technology Threat Avoidance (TTA) theory.

Findings

The findings of this study revealed seven major dark dimensions: addiction and dependency, isolation and loneliness, mental health issues, privacy and security, cyberbullying and harassment, digital identity theft and financial exploitation.

Practical implications

The study helps organizations and metaverse platforms understand the crucial dark dimensions of the metaverse. This study concludes by synthesizing prevalent themes and proposing propositions, offering insights for practical application and policy considerations.

Originality/value

This study provides a deeper understanding of the dark side of the metaverse environment from a user perspective using the underpinnings of TTA theory.

Purpose

To remain competitive in an unpredictable environment where the complexity and frequency of cybercrime are rapidly increasing, a cyber resiliency strategy is vital for business continuity. However, one of the barriers to improving cyber resilience is that security defense and accident recovery do not combine efficaciously, as embodied by emphasizing cyber security defense strategies, leaving firms ill-prepared to respond to attacks. The present study thus develops an expected resilience framework to assess cyber resilience, analyze cyber security defense and recovery investment strategies and balance security investment allocation strategies.

Design/methodology/approach

Based on the expected utility theory, this paper presents an expected resilience framework, including an expected investment resilience model and an expected profit resilience model that directly addresses the optimal joint investment decisions between defense and recovery. The effects of linear and nonlinear recovery functions, risk interdependence and cyber insurance on defense and recovery investment are also analyzed.

Findings

According to the findings, increasing the defense investment coefficient reduces defense and recovery investment while increasing the expected resilience. The nonlinear recovery function requires a smaller defense investment and overall security investment than the linear one, reflecting the former’s advantages in lowering cybersecurity costs. Moreover, risk interdependence has positive externalities for boosting defense and recovery investment, meaning that the expected profit resilience model can reduce free-riding behavior in security investments. Insurance creates moral hazard for firms by lowering defensive investment, yet after purchasing insurance, expanded coverage and cost-effectiveness incentivize firms to increase defense and recovery spending, respectively.

Originality/value

The paper is innovative in its methodology as it offers an expected cyber resilience framework for integrating defense and recovery investment and their effects on security investment allocation, which is crucial for building cybersecurity resilience but receives little attention in cybersecurity economics. It also provides theoretical advances for cyber resilience assessment and optimum investment allocation in other fields, such as cyber-physical systems, power and water infrastructure – moving from a resilience triangle metric to an expected utility theory-based method.

Purpose

The research aims to explore the dynamic relationship between digital service innovation (DSI), artificial intelligence (AI) and business performance (BPer) in service-based models with a focus on how AI-enhanced insights from service use and customer feedback can strengthen business strategies. The aims are to show that DSI and AI are key to driving growth and efficiency in the digital economy and to underscore AI’s role in utilizing contextual data to improve decision-making and business outcomes.

Design/methodology/approach

The study uses general structural equation modeling to analyze Spanish manufacturing firms, focusing on medium-sized enterprises and including both business-to-business and business-to-consumer orientations. Data are drawn from the Iberian Balance Analysis System [Sistema de Análisis de Balances Ibéricos (SABI)] database, complemented by a Qualtrics survey to assess the integration of AI in decision-making processes. The methodology is designed to evaluate the interplay between DSI, AI and BPer, with the aim of identifying actionable insights for service-based business orientations.

Findings

The study clarifies the relationships between DSI, AI and BPer, providing new theoretical and empirical insights. The findings confirm DSI's direct positive impact on performance and suggest AI’s nuanced mediating role, emphasizing the need for strategic DSI-AI integration in manufacturing firms for enhanced performance.

Research limitations/implications

The research explains the synergistic bond between DSI and AI in boosting BPer and discovering how by-product data can be transformed into strategic insights.

Practical implications

This study advises manufacturing sector leaders to integrate DSI and AI for enhanced performance and competitive advantage, emphasizing the value of high-quality, contextual data for AI learning and decision-making.

Originality/value

Researchers will observe that the study confirms the positive impact of DSI on BPer, while also highlighting the significant role of AI in enhancing this effect.

Purpose

The drive for digitalisation has increased the scope of cyber threats which can exploit the growing footprint of information and communication technology infrastructure supporting modern societies. Despite substantial interest and efforts in researching and building organisational cyber resilience, the resulting body of work is heterogeneous and has yet to reach maturity. This paper aims to address the gap in the conceptualisation of cyber resilience in academic and practice-oriented grey literature.

Design/methodology/approach

In this conceptual paper, we firstly seek to explore the available foundations of resilience as a construct and consider how these can be applied to organisational cybersecurity. To that aim, this study employs a targeted literature review approach, incorporating systematic elements to ensure rigour. Literature was identified through comprehensive searches in key academic databases, reference chaining and expert recommendations. Articles were selected based on relevance and contribution to the field, resulting in a thematic analysis to identify gaps and propose a heuristic model for cyber resilience. With this approach, we aim to position the emerging view of cyber resilience relative to risk analysis, while highlighting its domain of “conceptual comparative advantage” – the types of applications it is best suited to address. Finally, a high-level heuristic model for cyber resilience is proposed, which functions across the relevant policy, strategy and operational dimensions while also considering its relationship with cyber risk management.

Findings

A conceptual model for organisational cyber resilience is proposed which helps position and frame research contributions in this domain relative to risk analysis, highlighting its domain of comparative advantage. The model integrates policy, strategy and operational dimensions, in a manner conducive to bridging foundations and applications of the concept of cyber risk management. The proposed model provides a critical point of reference to evaluate individual models, frameworks and tools.

Originality/value

This paper is a pioneering effort to overcome the current gaps between conceptual and practical views of cyber resilience. It proposes a new, risk-aligned view of the concept of cyber resilience and provides a structural foundation for further research and practice in the field.

Purpose

The prevailing conceptualization of information system (IS) capabilities, rooted in the resource-based view (RBV) framework, tends to focus on unique firm resources. In the digital age, as emphasized by dynamic capabilities (DC), resource reconfiguration is critical in maintaining strategic advantage. This paper focuses on big data analytics capabilities (BDAC) from a DC perspective to present a novel conceptualization of BDAC–DC. We examine its effects on product, business model and business process innovation, including the effects of enterprise architecture (EA) on the BDAC business model innovation relationship.

Design/methodology/approach

This research presents a novel DC-based BDAC conceptualization, operationalized as a hierarchical construct. A survey-based approach is used for data collection and data analysis is done using partial least squares structural equation modeling (PLS-SEM).

Findings

The novel conceptualization and the effects of BDAC DC on BDA sensing-seizing and reconfiguration capacities support BDAC’s functional and evolutionary roleplay. Empirical results confirm the positive effects of BDAC–DC on first-order value targets (innovation) and the moderating effects of EA.

Research limitations/implications

The novel BDAC–DC conceptualization has several implications for BDAC, DC, EA and business value research. Practicing managers must adopt a multifaceted approach to BDAC development by considering non-technical and organizational factors, collaborate with their business counterparts to explore unique big data ideas, initiate proof-of-concept projects to secure support and allocate resources synchronously, considering a multidimensional view of the process, product and business model innovation.

Practical implications

Practicing managers must adopt a multifaceted approach to BDAC development by considering non-technical and organizational factors, collaborate with their business counterparts to explore unique big data ideas, initiate proof-of-concept projects to secure support and allocate resources synchronously, considering a multidimensional view of the process, product and business model innovation for synergistic outcomes.

Originality/value

To the best of our knowledge, this research is the first attempt toward DC-based BDAC conceptualization, empirical validation of first-order effects on various forms of innovation and the often-overlooked role of critical EA capability.

Purpose

The recent pandemic (COVID-19) and the continuous ICT advancements have resulted in increased levels of technostress. On this basis, the present work tried to explore how technostress influences employees’ turnover intention with the mediation of work-exhaustion. Deploying the theoretical lens of job demands-resources theory, the authors also aim to investigate the part that positive psychological capital (PsyCap) has to play as a moderator in between technostress and work-exhaustion.

Design/methodology/approach

The study utilizes a time-lagged methodological design; data was gathered from 544 Indian IT employees. Additionally, PLS-SEM was used to carry out the aforementioned moderation-mediation analysis.

Findings

All the hypotheses proposed were confirmed. It was found that technostress significantly impacts employees’ turnover intention. Additionally, work-exhaustion does mediate the relationship between technostress and employees’ turnover intention. Furthermore, PsyCap did play the role of a moderator between Technostress and work-exhaustion.

Practical implications

This paper provides an augmented understanding of technostress in IT organizations and highlights the role of personal resources in aiding employees’ to deal with technostress.

Originality/value

This study is one of the early studies to highlight the role of positive psychological capital in mitigating the impact of technology-induced exhaustion and employees’ turnover intention.