scholarly journals An innovation diffusion perspective of e-consumers’ initial adoption of self-collection service via automated parcel station

2018 ◽  
Vol 29 (1) ◽  
pp. 237-260 ◽  
Author(s):  
Xueqin Wang ◽  
Kum Fai Yuen ◽  
Yiik Diew Wong ◽  
Chee Chong Teo

Purpose As an application of self-service technology, automated parcel station (APS) is emerging as a logistics innovation to address the inefficiency and delivery failure in conventional home delivery. However, the long-term viability of APS depends on the consumers’ acceptance of such concept. In response, the purpose of this paper is to conduct a behavioural study on consumers’ adoption of self-collection service via APS. Design/methodology/approach By synthesising theoretical insights from the innovation diffusion literature and attitude theories, a conceptual model is developed and empirically validated. Perceived characteristics of APS are present to directly influence the consumers’ adoption intention, or indirectly through attitude. A total of 170 valid responses are collected from a survey conducted in Singapore and the data are analysed using structural equation modelling. Findings Consumers’ favourable attitude and perceived relative advantage of APS directly lead to stronger adoption intention. On the contrary, consumers’ perceptions on compatibility and trialability and on complexity indirectly influence their adoption intention via attitude, in a positive and in a negative way, respectively. Additionally, attitude is found to be the most influential factor contributing to consumers’ adoption intention. Research limitations/implications The scope of this paper is limited to e-consumers’ initial adoption decision. Future research should examine the consumers’ adoption behaviour further down the innovation adoption process, such as continuance and commitment. Originality/value This research conceptualises and validates the consumers’ adoption behaviour of APS from a synthesised view of innovation diffusion and attitude theories, theoretically and empirically contributing to the field of study on logistics innovations from the consumers’ perspective.

2018 ◽  
Vol 8 (5) ◽  
pp. 461-476 ◽  
Author(s):  
Kwaku Agbesi ◽  
Frank D. Fugar ◽  
Theophilus Adjei-Kumi

Purpose The adoption of sustainable procurement in construction clients’ organisation remains a difficult concept. Current research of sustainable procurement adoption studies fails to focus on a multi-stage adoption process. The purpose of this paper is to develop an organisational adoption model in a multi-stage process for the adoption of sustainable procurement in construction. Design/methodology/approach The paper developed an organisational adoption model. The model was tested against data obtained from survey administered to 193 respondents of central and local government institutions with a response rate of 63.7 per cent. Structural equation modelling using the partial least squares was employed to determine and confirm the factor structure of the model, and to measure the relationships between the model constructs. Findings An organisational adoption model is developed, tested and is robust to aid the adoption decision process of sustainable procurement within construction organisations. Research limitations/implications The study is limited in scope affecting generalisation of the results. Future study should expand the scope to include consultants, contractors and suppliers. Practical implications The adoption model will assist policy makers and top managers to understand the adoption decision process and prioritise on the technological, organisational and environmental factors that significantly affect sustainable adoption decision process within construction organisations. Originality/value This study appears to be among the first to empirically develop an organisational adoption model to aid the adoption of sustainable procurement in construction.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Saad Andaleeb ◽  
Md. Abu Saleh ◽  
Md. Yunus Ali

Purpose This study aims to examine whether and how cultural (dis) similarity between business entities enhances or impairs the development of commitment in the trust building process in industrial importer-foreign supplier relationships. Design/methodology/approach Drawing on theoretical lenses of transaction cost economics, resource-based view and dynamic capability view, this study investigates how cultural (dis)similarity moderates the effects of opportunism, transaction-specific investment (TSI), the relative advantage of importing and communication on commitment, leading to building trust in business relationships. Using structural equation modeling and moderated regression analysis, the study tested several predicted effects using a sample of 154 industrial importers drawn from a developing country in Asia. Findings A key finding of the study suggests that supplier opportunism comes into play and is negatively associated with industrial importer commitment as cultural dissimilarity increases. For culturally similar countries, opportunism does not affect commitment. Conversely, TSI has a positive effect on commitment for culturally similar countries; for dissimilar countries, TSI has no effect. The study also corroborates several additional hypotheses prevalent in the literature. Research limitations/implications Cross-sectional data rather than longitudinal data, single country rather than multi-country perspectives and data from the importer’s side rather than from both importer and exporter may affect generalizability. Future research ought to address these issues to provide further insights. Originality/value The paper enriches the literature and extends the nomological network for international business theory by introducing the moderating effect of business cultural similarity in building commitment. Managerial perspectives are also gleaned from the findings.


2015 ◽  
Vol 21 (3) ◽  
pp. 517-540 ◽  
Author(s):  
Mithu Bhattacharya

Purpose – The purpose of this paper is to develop a research model that links Radio Frequency Identification (RFID) adoption issues with established technology adoption stages suggested by Rogers theory of diffusion of innovation (DOI). The research model proposed in this study suggests that RFID adoption in retail industry progresses in different stages. Design/methodology/approach – A mixed methodological perspective is used in this research. Key research issues were identified from a systematic content analysis of trade and academic articles in the first phase. Findings – Data collected from Delphi study is used to test the propositions. It confirms key research issues associated with different adoption stages. Finally, it also confirms that the stages (knowledge, persuasion, design and decision, and implementation) influence RFID adoption decision. Research limitations/implications – The propositions that are developed in the model can be used in future studies for further development. More relevant items should be added to measure each variable. It can also allow future researchers and practitioners to take a more comprehensive approach to look at RFID adoption process as a whole and thus focus on relevant issues across all adoption stages. Practical implications – The research model can provide insights to practitioner to make more informed RFID adoption decisions. Originality/value – Rogers stage model is very important for technology diffusion studies but is not explored much. There is limited research on understanding the overall RFID adoption process. This study is an attempt to bridge that gap and draw attention toward future research in that direction. The research model that is developed links RFID research with existing research in the area of DOI.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
James Pérez-Morón

Purpose The contribution of this study aims to twofold: First, it provides an overview of the current state of research on cyberattacks on Chinese supply chains (SCs). Second, it offers a look at the Chinese Government’s approach to fighting cyberattacks on Chinese SCs and its calls for global governance. Design/methodology/approach A comprehensive literature review was conducted on Clarivate Analytics’ Web of Science, in Social Sciences Citation Index journals, Scopus and Google Scholar, published between 2010–2021. A systematic review of practitioner literature was also conducted. Findings Chinese SCs have become a matter of national security, especially in the era of cyber warfare. The risks to SC have been outlined. Cybersecurity regulations are increasing as China aims to build a robust environment for cyberspace development. Using the Technology-organization-environment (TOE) framework, the results show that the top five factors influencing the adoption process in firms are as follows: relative advantage and technological readiness (Technology context); top management support and firm size (Organization context) and government policy and regulations (Environment context). Research limitations/implications This review focuses on cyberattacks on Chinese SCs and great care was taken when selecting search terms. However, the author acknowledges that the choice of databases/terms may have excluded a few articles on cyberattacks from this review. Practical implications This review provides managerial insights for SC practitioners into how cyberattacks have the potential to disrupt the global SC network. Originality/value Past researchers proposed a taxonomic approach to evaluate progress with SC integration into Industry 4.0; in contrast, this study is one of the first steps toward an enhanced understanding of cyberattacks on Chinese SCs and their contribution to the global SC network using the TOE framework.


2018 ◽  
Vol 15 (3) ◽  
pp. 182-204 ◽  
Author(s):  
Rajasshrie Pillai ◽  
Brijesh Sivathanu

Purpose This study aims to use the novel approach of applying the behavioural reasoning theory (BRT) to understand the relative influence of reason for and reason against the adoption of mobile learning applications (M-learning apps) among information technology (IT) and information technology enabled services (ITeS) employees. Design/methodology/approach This study surveys 680 employees of IT and ITeS companies in India to examine the adoption of M-learning apps for learning using the BRT and the primary data analysis was done using the partial least squares-structural equation modelling technique. Findings It is found that the context-specific adoption factors for M-learning apps are hedonic motivation, self-efficacy, learning autonomy, ubiquitous and relative advantage, whereas the reasons against adoption of the M-learning apps are traditional barrier, usage barrier and image barrier. It is also found that values of openness to change positively affect the reasons for adoption and do not significantly affect reasons against adoption of M-learning. Values of openness to change affect the attitude towards M-learning apps and attitude affects the adoption intention of M-learning apps for learning. Research/limitations/implications This cross-sectional study was conducted only in the Indian IT/ITeS firms and future research can be conducted in other sectors and countries to generalize the results. Practical implications This research uniquely highlights the adoption factors both for and against, which should be considered while developing marketing strategies for M-learning apps’ adoption. It is imperative for training managers to consider these factors during the selection of M-learning apps and for designers while designing the M-learning apps. Originality/value This study provides new insights towards the use of mobile apps for learning with the employees’ perspective using the BRT theory and it highlights the reason for adoption and reason against adoption of M-learning apps.


2015 ◽  
Vol 26 (1) ◽  
pp. 44-71 ◽  
Author(s):  
Sven Heidenreich ◽  
Matthias Handrich

Purpose – The purpose of this paper is to develop and empirically evaluate an adoption model for technology-based services (TBS) that integrates a customer’s willingness to co-create (WCC) as mediator complementing the well-known individual differences and innovation characteristics in predicting customer adoption of TBS. Design/methodology/approach – The manuscript uses structural equation modeling to analyze survey data from two empirical studies (n=781 and n=181). Findings – The empirical results show that WCC represents a key mediator between established antecedent predictors (innovation characteristics and individual differences) and the likelihood of TBS adoption. Additionally, the analysis reveals that WCC can even better explain and predict adoption intention of TBS than the commonly used individual differences and innovation characteristics. Finally, the results also suggest that a lack of customers’ WCC may help to explain persuasion-decision discrepancies within TBS adoption. Research limitations/implications – As the data of this manuscript pertains to the mobile apps market, future research might test the modified technology adoption model in other TBS contexts as well. While the studies used cross-sectional data, it would be interesting to assess the differential influence of WCC across the stages in the adoption process using longitudinal data. Practical implications – The findings on WCC provide managers with a new set of factors (apart from known antecedent predictors like individual differences and innovation characteristics) to optimize TBS adoption. Originality/value – This manuscript is the first to examine an adoption model for TBS that integrates a customer’s WCC. Furthermore, the findings provide first empirical evidence that WCC can help to explain persuasion-decision discrepancies within TBS adoption.


2020 ◽  
Vol 31 (7) ◽  
pp. 1325-1350
Author(s):  
Muhammad Haris Aziz ◽  
Summyia Qamar ◽  
Mohammad T. Khasawneh ◽  
Chanchal Saha

PurposeCloud manufacturing (CMfg) has emerged as a service-oriented paradigm that enables modularization and on-demand servitization of resources in the context of manufacturing. The plethora of studies on CMfg has led the authors to investigate its implementation, as most of the literature is theoretical or simulation-based. Therefore, the purpose of this study is to investigate the reality of the CMfg concept in terms of adoption.Design/methodology/approachA tri-theoretic model is developed using the technology adoption model, diffusion of innovation and technology-organization-environment for hypotheses development. Data are collected from 218 US manufacturers. The data analysis approaches are partial least squares structural equation modeling, while data visualization is done to further analysis.FindingsThe study shows that most of the US manufacturers are reluctant to adopt the CMfg. Further, the statistical findings imply that competitive pressure, top management support, compatibility and trialability play a vital role in its adoption. The success of the CMfg adoption relies on the implementation of the pre-installation stage and the top management decisions.Practical implicationsFor practitioners, the study provides insight on how to supervise the CMfg platform implementation to improve the adoption process. For researchers and academicians, the significance of trialability provides a wide range of research topics on developing the CMfg trials and models.Originality/valueThis paper highlights the concerns of manufacturers about the pros and cons of the CMfg adoption, as this topic has not been given due attention in the literature. This will help to align future research directions according to market concerns and mitigating the factors that are hindering its adoption.


2021 ◽  
pp. 231971452110592
Author(s):  
Subhodeep Mukherjee ◽  
Venkataiah Chittipaka

This article aims to identify and analyse the factors that impact the adoption of intelligent agent technology (IAT) in the food supply chain (FSC). The research was conducted based on 329 respondents from various hotels and the theoretical framework adopted in this study, that is, technological, organizational and environmental (TOE) framework. The findings indicated that multiple factors in TOE contribute significantly to the adoption of IAT. We have validated the proposed framework by structural equation modelling utilizing AMOS 22.0. This research offers a new and vital paradigm for adopting this innovation in the FSC, thereby increasing the overall efficiency of a hotel. The proposed TOE framework has identified several factors like relative advantage, reliability, complexity, cost, innovation adoption, top management support, skilled employees, IT awareness, environmental uncertainty, competitive pressure, information intensity and supplier’s pressure, which helps in the adoption process of IAT in the FSC. It also provides a foundation for future research and significant insights to adopt this new technology in the hotel industry.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Janet L. Hartley ◽  
William Sawaya ◽  
David Dobrzykowski

PurposeDespite blockchain's potential supply chain benefits, few organizations have moved beyond pilot projects. The paper aims to explore blockchain adoption intentions for supply chain applications using two theoretical perspectives: innovation diffusion theory (IDT) and institutional theory (IT).Design/methodology/approachBased on theory, five propositions were developed addressing the intention to adopt blockchain. The propositions were tested using scenario-based experiments with supply chain professionals. To provide additional insights, interviews with 21 supply chain professionals in 15 organizations representing 8 industries were content analyzed.FindingsExperiments suggest that the intention to adopt blockchain is higher when there are government regulations regarding product origin, organizations are using updated cloud-based information systems and organizations are working with third-party consultants. The content analysis suggests that organizations that face normative pressures to adopt blockchain supply chain applications and recognize blockchain's relative advantage, compatibility and complexity are more likely to be actively seeking information about and adopting blockchain supply chain applications. The authors synthesize findings and provide new propositions to guide future research.Originality/valueUsing a multi-method approach, the study provides an important window into supply chain managers' perceptions of the necessary conditions to support organization-level blockchain adoption. The findings also indicate key characteristics present in supply chain networks poised for blockchain adoption.


2017 ◽  
Vol 29 (3) ◽  
pp. 862-882 ◽  
Author(s):  
Fiona X. Yang ◽  
Sherry Xiuchang Tan

Purpose This paper aims to empirically investigate how event innovation may induce desirable corporate branding. Design/methodology/approach A survey yielded 280 complete responses from tourists who had attended an event in Macau. Structural equation modeling was used to test the innovation-corporate loyalty framework through perceived event value and corporate image, with a multi-group comparison to examine differences between first-time and repeat customers. Findings The results indicate that innovation is not only the key to value enhancement of the event but also an efficacious instrument of branding the parent company and building corporate loyalty; only product-related innovation has a significant impact on event value; both functional and emotional values induce a more favorable corporate image; and event-induced corporate branding is more effective in securing repeat business than attracting new clientele. Practical implications The findings help hospitality operators and event planners to leverage innovative events for corporate branding and cater to different customer segments by providing distinct marketing strategies. Originality/value The study contributes to the body of knowledge regarding event management and corporate branding and sheds light on future research to explore the initiative and benefit of pushing forward event innovation.


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