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The aim of this conceptual study is to analyze the effects of state-of-the-art research streams on supply chain risk management (SCRM) based on organizational theoretical background and direct future research toward the use of other related organizational theories. This paper seeks to provide a framework for understanding various organizational theories that can impact the understanding of SCRM.

A systematic literature review on articles published from 1998 to 2020 was conducted manually in the following databases: Emerald, Science Direct, Taylor & Francis Online, and Wiley online library. Among these articles, the paper by Smeltzer and Siferd (1998) is the first article published on the topic. Therefore, that serves as a starting point for the papers' analysis. A total of 109 articles have been selected and reviewed in detail.

The results of the study indicate that the articles which utilize theories in SCRM research have been mostly published in the last three years. The quantitative and case studies have been prevalently applied methods in the articles. In total, 34 theories are listed from the investigated articles. The four commonly studied theories among these are the information processing theory, transaction cost theory, contingency theory, and resource-based view.

This paper is the pioneer in the sense that the paper specifically and directly reviews the SCRM literature in terms of organizational theory usage. For future research, this study offers a diffusion of innovation (DOI) theory that explains the factors which can affect the adoption or diffusion of SCRM practices.

This paper aims to explore whether internal context – decision-makers’ perception of characteristics of the information content – might predict the variation in adoption rates of different types of content, and whether innovation adoption theory might represent important factors of this decision-making process Corporate management decides what types of environmental information content to disclose/adopt.

Actual adoption rates of 13 information content categories are computed using content analysis of annual reports for 62 listed companies. Each content category is seen as an innovation the company decides to adopt or not. Interviews with management in several companies illustrate the decision process of disclosure, and help predict adoption rates. Predicted and actual adoption rates are compared.

Adoption rates vary considerably among the 13 types of content. The absolute level of adoption rates is affected by company size and environmental risk. However, those content categories that have either relatively high or low adoption rates are consistent among the subsamples, regardless of these corporate characteristics. This consistent variation in adoption rates seems to be predicted well by innovation adoption theory and its focus on the five attributes of the information itself: compatibility, trialability, complexity, observability and relative advantage.

The theoretical framework allows for different or changing internal and general contexts, and should be applicable to other settings, even though the particular predictions for adoption rates in this paper may not be applied as such.

The level of analysis is changed from company level, which dominates previous research, to information content (individual content categories). Perceived attributes of the information content itself and innovation adoption theory are used for the first time to explain reason for the reporting practice, and are considered fruitful tools to predict consistent variations in adoption rates among different types of content. This approach provides new insight into the driving forces of supply of disclosure.

Institutional theory assumes practice adoption and subsequent decoupling. However, there is a range of alternative organizational theories that challenge this view and offer instead their reinterpretation, extension and modification of institutional predictions with regard to the adoption and possible range of various responses and processes that follow the decision to adopt. This paper aims to review this spectrum of theories and suggest how they clarify, supplement, correct, restrict and/or abandon some institutional explanations and predictions.

Extensions and alternatives to institutional theory are mainly motivated by the need to have a theory of practice adoption and variation, and a plethora of alternative practice adoption theories currently exists in the literature. The authors review these theories and compare them against institutional theory and against each other.

The analysis revealed shortcomings and advantages of alternative theories compared to institutional theory and against each other. It is suggested which theory is most useful in each domain of application. The authors review and compare institutional theory, Scandinavian institutionalism, management fashion theory, virus theory and institutional inertia theory and analyze how and whether they are able to reproduce the success of institutional theory and successfully address and resolve its shortcomings and gaps. The authors conclude by discussing whether regular emergences of new theories that account for the idea-handling stage of diffusion signals institutional theory’s limit of validity in this domain.

The problem of idea emergence/diffusion/disappearance and adoption/variation/use are fundamentally different, but both of them motivated researchers to go beyond institutional theory. Despite being the dominant theory of organizations internally consistent and explaining a wide range of empirical observations, it is evident that institutional theory is not a complete theory. This paper contributes to this problem by exploring and comparing existing candidates for practice variation theory.

This study aims to examine the current state of literature on structural equation modeling (SEM) studies in “cloud computing” domain with respect to study domains of research studies, theories and frameworks they use and SEM models they design.

Systematic literature review (SLR) protocol is followed. In total, 96 cloud computing studies from 2009 to June 2018 that used SEM obtained from four databases are selected, and relevant data are extracted to answer the research questions.

A trend of increasing SEM usage over years in cloud studies is observed, where technology adoption studies are found to be more common than the use studies. Articles appear under four main domains, namely, business, personal use, education and health care. Technology acceptance model (TAM) is found to be the most commonly used theory. Adoption, intention to use and actual usage are the most common selections for dependent variables in SEM models, whereas security and privacy concerns, costs, ease of use, risks and usefulness are the most common selections for causal factors.

Previous cloud computing SLR studies did not focus on statistical analysis method used in primary studies. This review will display the current state of SEM studies in cloud domain for all future academics and practical professionals.

While traditional theories of information and communication technology (ICT) adoption have been deployed to study ICT adoption in the past, these theories considers ICT adoption as static and rely on conceptualising factors as variables and predicting their levels of outcome at a single decision stage. Although much has been credited to these theories, they have continuously ignored the fact that as decisions to adopt are made and challenged along the adoption process, such decision can be influenced by the same, different or combination of factors at different stages of the adoption process. This paper aims to examine ICT adoption from a dynamic process perspective and to explore the key determinants and how these differ from one stage of the adoption process to another.

Qualitative method was adopted in this study. Both unstructured and semi-structured interviews were conducted in two separate stages using purposeful random sampling. Hybrid approach of thematic analysis was adopted in analysing the data.

This study develops a framework informed by actor network theory (ANT) concepts and finds that using ANT to examine the process of adoption helps to unveil the recursive nature of the process. The study reveals that the 14 determinants identified in this study influenced adoption at different stages. Factors such as ease of use, managerial time, customer focus and adoption influenced adoption at all the stages. This reveals that factors influencing ICT adoption are not static at one particular stage rather it may influence ICT adoption at different stages.

Qualitative research is often subjective and interpretive in nature, and one of the limitations is the sample used in this research. Considering the small number of interviews carried out in this study, the generalisation of finding and the framework remains to be established across a wider population. Therefore, the factors presented could be limited considering that a number of practitioners that are involved in establishing emerging ICT are numerous. Therefore, other factors are prevailing to other industries or sectors that may provide scholars another way of examining these factors. Also, the framework demonstrates that it is a valuable analytical tool for researchers to examine how and why different actors including small and medium enterprise (SME) managers act around emerging ICT.

This study develops a framework that revealed the interactive and recursive nature of ICT adoption and the determinants influencing the process of ICT adoption at different stages thereby advancing ICT adoption research. The study challenges researchers to always consider ICT adoption as dynamic and unpredictable instead of one-off action as factors influencing its adoption are not static rather; they vary from one stage to another.

One may categorize assistive technologies for aged care into two types, namely, supportive (helping the elderly with their everyday activities) and empowering (obtaining physical or educational training to help seniors to maintain their capabilities). This paper looks at the impact of this perspective in the adoption of technologies that are used to aid already declined functions in comparison with technologies that are used to empower an elderly person’s capabilities. The purpose of this paper is to extract the factors that influence adoption of assistive technologies among seniors and the theories used in this context.

A systematic literature review was conducted on relevant peer reviewed papers. A preliminary exploratory search was conducted to identify keywords and online databases for the search. A total of 104 papers published since 2000 were analyzed after title, abstract and full text filtering.

The study summarizes and categorizes the factors impacting the adoption of assistive technologies among seniors. The paper analyses the theoretical support utilized by literature and maps the empirical evidence for supportive and empowering technologies.

This research like any other literature review is limited to the search keys. However, the keys have brought to this work from a preliminary search.

The work informs nursing professionals on the process to adopt technologies among seniors. The paper also helps technology developers to design technological products that are easier to adopt for older adults.

It was found that existing adoption theories are able to handle supportive technology adoption mainly because of the direct link between usage and improved functionalities. However due to the indirect effect of empowering technologies, elderlies lag in benefit realization for empowering technologies. This opens avenues of research and requires future work and utilization of new theoretical approaches in this area. The paper indicates propositions, claims and suggested questions for future research in both supportive and empowering technologies.

This study is centered on the identification of the most appropriate Technology Adoption (TA) model for investigating the adoption of Industry 4.0 technologies within pharmaceutical and related enterprises. The aim is to facilitate a smooth transition to advanced technologies while concurrently achieving environmental sustainability.

Selection of a suitable TA theory is carried out using a hybrid multi-criteria decision-making (MCDM) approach incorporating PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) and Fuzzy Measurement of alternatives and ranking according to Compromise solution (F-MARCOS) methods. A group of three experts is formulated for the ranking of criteria and alternatives based on those criteria.

The results indicate that out of all six TA models considered unified theory of acceptance and use of technology (UTAUT) model gets the highest utility function value, followed by the technical adoption model (TAM). Further, sensitivity analysis is conducted to confirm the validity of the MCDM model employed.

Challenging times like COVID-19 pointed out the importance of technology in the pharmaceutical and healthcare sectors. TA studies in this area can help in the identification of critical factors that can assist pharmaceutical firms in their efforts to embrace emerging technologies, enhance their outputs and increase their efficiency.

The novelty of this research lies in the fact that the utilization of a TA theory prior to its implementation has not been witnessed in existing scholarly literature. The utilization of a TA theory, specifically within the pharmaceutical industry, can assist enterprises in directing their attention toward pertinent factors when contemplating the implementation of emerging technologies and achieving sustainable development.

The goal of this paper is to identify the main factors influencing mobile service adoption and define a universally applicable holistic concept capable of explaining all types of mobile service adoption that will be useful to all stakeholders.

A systematic method was used to identify and select relevant articles for appraisal and analysis of their data, as well as to summarize existing research in mobile service adoption studies.

After reviewing and analyzing the articles, 25 major variables were identified. According to the article analysis, usefulness and experience were identified as the primary motivators for adoption, and that negative barriers to adoption must be controlled in order to improve adoption. Demographics play a role in adoption and technology acceptance model (TAM) emerged as the most suitable model to study the variables affecting mobile service adoption.

The generic concept of mobile services adoption will help industry stakeholders and researchers to use a more focused approach to study and encourage adoption and use of mobile services. Empirical testing of the proposed concept is a limitation which can also be a future scope of the study.

The review provides a holistic mobile services adoption process which is able to define adoption for all kinds of mobile services and is universally applicable as well. The study presents potential implications and relevant insights in mobile services adoption and contributes to a better understanding of mobile service adoption process.

This study focuses on the adoption of wearable technologies in a context where care-providing organizations can offer, in collaboration with caregivers, better care. Drawing on dual-factor theory and from the caregiver perspective, this study identifies and examines factors of technology adoption in four developing countries.

This study was undertaken using a quantitative approach. A survey was distributed among 1,013 caregivers in four developing countries in Asia including Iran, Azerbaijan, Turkmenistan and Iraq and collected quantitative data for model validation and hypotheses analysis. Building on the technology adoption literature, we identified six constructs that impact the behavioral intention of caregivers to use wearable technologies in aged care-providing organizations.

Our dual-factor model was successfully validated, and all hypotheses were supported. However, different results were found in the selected countries within the cross-country analysis.

This study has significant implications for the study of emerging technologies in aged care service operations. It provides a theoretical framework that may be adapted for future research, enabling practitioners in aged care to better understand the crucial role of technology adoption in service operations. Less attention was paid to the adoption of wearable technologies in aged care, particularly in developing countries, where healthcare services in aged care impose heavy costs on care providers.

This article critically synthesizes the literature on sustainable fashion, the movement behind it and plausible fashion adoption theories. Then, to build on those studies, developing a new theory about adopting sustainable fashion – mainly among millennials and Generation Z who are behind forwarding and adopting this fashion trend – is sought after.

This is a theory-synthesized conceptual article that presents a literature-informed new theoretical structure pronouncing sustainable fashion adoption and its rise as a new luxury trend. That included explicating and unraveling the conceptual foundations and construction elements that different viewpoints use to articulate the trend under investigation and the searches for a common basis to construct a new and improved conceptual framework.

This study introduces the triple-trickle theory that incorporates the role of media and technology to organize and understand the diffusion of sustainable fashion and identify paths for future trickle-effects on fashion research.

Even though this has the benefit of offering a vast array of views and evidence that offers an adequate problem inspection, further studies providing empirical evidence are needed to establish the external validity of the theory derived from this research.

This theory can be applied to develop targeted practices to understand the diffusion and adoption of sustainable fashion and further practitioners’ understanding of product positioning, target marketing, marketing strategy and luxury opportunities in general.

Though interest in sustainable fashion has increased among consumers, no theory or model exists to explain its adoption. Therefore, the triple-trickle theory is proposed and aimed to be a more relevant framework to offer a theoretical premise for future empirical investigations of sustainable fashion adoption.