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Most studies of mobile commerce (MC) adoption by individuals have focused on the influence of a set of factors at a single point in time, and thus, cannot capture the process by which the individuals progress from simple to sophisticated MC adoption. This paper aims to enhance the current understanding of MC adoption by using a process approach to investigate MC adoption progression among individuals and the factors influencing their decisions to adopt different MC activities of varying complexity levels over time.

A qualitative research design was used. Data were collected through a series of semi-structured face-to-face interviews with 22 users of mobile devices to understand how they progressed in MC adoption over time and the factors influencing their decisions to adopt different levels of MC activities. The data were analyzed using qualitative data analysis techniques.

The findings showed reciprocal influences between individuals’ perceptions and MC adoption. As individuals adopted and gained experience with basic MC activities, their perceptions of MC improved over time, leading to the adoption of more advanced MC activities.

This research proposes a novel process approach and an innovative MC Adoption Maturity model to explain MC adoption progression over a time dimension. The model includes three levels of MC adoption maturity and explains adoption progression from one level to the next. The concept of MC adoption maturity will enable researchers to understand changes in users’ experiences and perceptions throughout adoption maturity progression.

Efficient consumer response (ECR) is a supply chain management strategy which attempts to address the inefficiencies that have led to excessive inventory and unnecessary costs at all levels within the grocery industry supply chain. Although originating in the USA, ECR has also attracted attention and interest in many other countries. This paper presents the results of an Australian study which was designed to assess the applicability of ECR within the Australian grocery industry. The results of the study indicate that the inefficient business practices of the US supply chain are also prevalent within the Australian grocery industry and that some Australian companies had already begun to engage in business activities related to ECR as early as 1996.

The adoption of efficient consumer response (ECR) has been slow in many regions, despite its many potential benefits to supply chain participants through reduction of inventory level and operating costs. There has not been any well‐developed theory that can explain this slow uptake. Argues that the inherent characteristics of ECR have actually created barriers to its own adoption. As an inter‐organisational system (IOS), ECR adoption requires co‐operation and trust between trading partners, which are unlikely to happen unless costs, benefits and risks of ECR implementation can be mutually shared. Shows, using a case study conducted within one supply chain, that an unequal distribution of costs, benefits and risks among manufacturer, distributor and retailer is inherent in the implementation of cross‐docking, which typifies the overall ECR program. The findings of this study lead to a new direction in understanding the barriers to adoption of ECR and IOS in general.

Efficient consumer response (ECR) is an electronic commerce (EC)‐enabled grocery industry supply chain management strategy, which is designed to make the industry more efficient and responsive. Despite the many benefits obtainable from ECR, the adoption rate has been slow in many regions. At this stage, there is no well‐developed theory of adoption of technologies at this wide scale that can explain this slow uptake. This paper explores the experiences of the Australian grocery industry with ECR adoption. In order to obtain a more reliable snapshot of ECR adoption practices, barriers and perceptions, this study employs a combination of quantitative and qualitative research methods. Since the Australian grocery industry has a unique structure, important observations obtained from this study enrich previous ECR adoption studies.

This study aims to explore the relationship between digital transformation and resilience development in the Australian food supply chain (FSC), and identify the contribution of digital technologies to it using the dynamic capabilities theory as theoretical lens.

For that, a mixed-method approach was used. It combines both quantitative and qualitative data to identify trends and details of the phenomenon, yielding more robust findings. We firstly collected and analyzing quantitative data obtained from food industry practitioners and, then, qualitative data gathered through semi-structured interviews with experts.

The study findings suggest that the relationship between digital transformation and resilience varies among tiers of the FSC and that digital technologies adoption affects resilience development differently across tiers. This highlights the potential cost savings of developing strategies that jointly address digital transformation and resilience development, improving performance outcomes and determining the extent to which digital technologies enhance or inhibit certain aspects of resilience in the FSC.

The study frames the relationship between digital technologies and resilience within the dynamic capabilities theory and suggests that digitalization can enhance resilience by enabling organizations to sense, seize, and transform strategies. We also provide insights for managers to develop strategies that simultaneously enhance digitalization and resilience, resulting in improved performance during disruptive events.

This paper examines the relationship between different manufacturing strategies and Industry 4.0's (I4.0) critical success factors (CSFs) and technology adoption.

For that, the authors surveyed 165 practitioners from different manufacturers. Participants provided information about the levels of product customization and production volume in their companies. They also indicated the adoption level of I4.0 technologies and CSFs. Using multivariate data techniques, the authors identified four clusters of different manufacturing strategies and two readiness levels based on the establishment of I4.0 CSFs. The adoption level of I4.0 technologies was then cross compared among clusters to identify which technologies are more likely to be supported.

The findings indicate that, in low-readiness companies, the adoption level of I4.0 technologies does not significantly differ between manufacturing strategies. However, when companies present a higher I4.0 readiness, the adoption of I4.0 technologies seem to vary according to the existing manufacturing strategy.

This study sheds light on the influence that manufacturing strategies may have on the digital transformation of companies, highlighting which strategies are more likely to offer a context to successfully adopt I4.0 technologies. The identification of these relationships helps to define the expectation regarding the company's digital transformation, determining coherent benchmarks and allowing managers to anticipate potential issues.

This paper aims to investigate the key enablers and inhibitors that influence the intention to use fitness wearables using the value-based adoption model (VAM).

Data were collected using a structured online questionnaire from 323 respondents who had never used fitness wearables. A purposive sampling technique was used in this study. Smart PLS was employed to test the research framework and hypotheses using a two-step approach.

The findings support some of the hypotheses developed with R² values of 0.622 for perceived value (PV) and 0.567 for intention to use fitness wearable. Perceived enjoyment, perceived social image and perceived usefulness had a positive effect on PV. In addition, health information sensitivity (HIS) was positively related to perceived privacy risk and health information accuracy was positively related to perceived usefulness. Surprisingly, this study did not find any significant relationship between perceived fee, perceived privacy risk, perceived health increase and perceived design aesthetics with PV.

This study's findings can help designers and manufacturers design fitness wearables by considering factors that users find valuable, thus satisfying consumers' needs.

This study tries to model behavioural intention of fitness wearable usage of individual users by using the VAM with the addition of two new antecedences, HSI and health information accuracy, to better explain the behaviour.

Healthcare supply chains (HSCs) have been adopting Industry 4.0 (I4.0) as a means to boost their resilience. The first objective of this study is to identify the effect of contextual variables of HSCs on resilience development and I4.0 adoption. Second, the paper examines the pervasiveness of the relationship between resilience and I4.0 across different contextual characteristics.

179 organizations from the HSC in Brazil and India were surveyed. Responses were analyzed using multivariate data techniques.

Large HSC agents are more likely to develop resilience abilities and adopt I4.0 technologies when these factors are analyzed independently. However, the joint analysis of resilience and I4.0 displayed a large number of significant correlations among small organizations.

Findings provide managers of HSC arguments to enhance resilience through the digitalization. HSC organizations can identify HSC organizations' context to tailor initiatives on resilience and digitalization.

Information architecture (IA) is often understood as a comprehensive master plan for organizational data assets and is widely considered as an essential component of broader enterprise architecture (EA). However, the status and practical operationalization of IA still remain largely unclear. In order to clarify these questions, this paper investigates what instruments related to IA are actually employed in organizations.

This study builds on the analysis of architecture practices in 27 diverse organizations. Based on the semi-structured interviews with architects and the examination of utilized architectural documents, we explore IA-related instruments with their usage scenarios that have been adopted in the studied organizations.

The authors identify 12 distinct instruments used in the industry and analyze in detail their features, properties and relationships. This paper analysis shows that these instruments are rather diverse and largely inconsistent across different organizations. The study findings also suggest that IA cannot be considered as a comprehensive plan for information, but rather as a variable set of loosely related instruments and practices that help organizations manage information.

The study offers a unique perspective on the concept of IA, as it is practiced in the industry today, as well as a critical scrutiny of the respective prescriptions abundant in the existing literature. Although this study does not attempt to theorize on the findings, it makes a significant empirical contribution by offering a solid evidence-based view of IA and its key instruments currently missing in the available literature.

This paper proposes an extended model based on the unified theory of acceptance and use of technology (UTAUT) developed by Venkatesh et al. To help better explain the intention to use an enterprise resource planning (ERP) system.

Findings from the literature review reveal that various technology acceptance models have been introduced in the past two decades. However, there are new research models that lack empirical study. With the research model proposed above, further study could be carried out to gauge whether this model can better explain end‐users' intentions to use an ERP system.

The review shows that although there has been research conducted using the UTAUT model, it has not decomposed the facilitating conditions as the authors suggest in this paper, which will be useful for intervention purposes.

Since this paper suggests a conceptual model based on a literature review, it is suggested that further study could be carried out to test whether this model can better explain end‐users' intentions to use ERP systems.

The review shows that shared beliefs, project communication and training can be used to offer intervention measures to help in the adoption and usage of ERP.

What this paper proposes is to drop the voluntariness variable from the model as a moderating factor, justifying this exclusion based on the fact that an ERP system implementation is mandatory and there is little room for the employees to oppose once the system is implemented. The authors also suggest further decomposing the facilitating condition into three components, namely shared beliefs, project communication and training can help in the design of intervention measures.