The Double-Edged Nature of Technostress on Work Performance: A Research Model and Research Agenda

This research agenda is the first step toward the adaptation of transactional theory of stress (TTS) into the technostress context, which aims to fill the research gaps in the technostress literature. A research model is developed based on TTS. In the model, we assume technostress to be neutral, and its effects on a person’s workplace outcomes depend on the appraisal on technostress. The positive appraisal on technostress, that is, technostress challenge appraisal will generally lead to positive outcomes, whereas the negative appraisal on technostress, that is, technostress threat appraisal will generally lead to negative outcomes. Although technostress is neutral in a holistic perspective, different types of technostress would be appraised differently. Therefore, the model also predicts how different types of technostress would be appraised. A three-phase agenda is proposed to validate the model. At the end, we highlight the theoretical and practical implications, as well as opportunities for future studies

GOVERNANCE MECHNISMS IN IS OUTSOURCING PROJECTS IN TRANSITION ECONMIES

Pevious IS outsourcing research studies failed to provide evidences on how IT client-vendor relationships should be governed to ensure project success and relational continuity. More importantly, it is even challenging for companies to achieve outsourcing success in transition economies facing an environment characterized by institutional instability. This article draws from theories of institutions and organizations to develop a model examining outsourcing relationship governance mechanisms which would affect outsourcing success in state-owned and non-state-owned Chinese companies. Results of 72 state-owned and 54 non-state-owned outsourcing projects show that the positive relationship between contractual governance and outsourcing success is stronger in state-owned firms than in non-state-owned firms. On the other hand, non-state-owned firms have stronger effects on the relationships between relational governance and outsourcing success, and between outsourcing success and relational continuity

A CASE ANALYSIS OF ADOPTION OF AN RFID-BASED GARMENT MANUFACTURING INFORMATION SYSTEM

A case study approach was used to explore the adoption of an RFID-based garment manufacturing information system in a garment factory in China. The results of our findings indicate that both technology push and need pull factors influence the intention of the garment factory to adopt RFID technology. Technology push factors include relative advantage, compatibility, complexity, extendibility, and cost of the technology while need pull factors include competitors and customers pressure. We have identified eight factors for successful adoption of the RFID-based garment manufacturing information system, namely vendor selection, organizational motivation, cost/benefits evaluation, top management support, user involvement, extent of progress supervision, staff competence and training and policy, structure and operation process compatibility

The potential of tag-based contextualization mechanisms to leverage the sale of regional products and promote the regions through products

In small and rural regions, where we can many times find top quality products, there is, many times, a greater difficulty in promoting their products. This difficulty begins in the nature of the companies that manufacture these products. These companies are typically family-owned or small-sized, not having large capacity to carry out very elaborate marketing strategies. They often depend of the tourist attractiveness of the regions themselves to leverage their sales. This paper discuss the challenges for the promotion of regional products and rural regions, review the role of smartphones and the main tag-based contextualization mechanisms and their potential for leverage the sale of rural regional products and, finally, presents a cooperationbased conceptual model, where are combined contextualization-tags and mobile devices to promote regional products, leverage sales and promote rural regions by attracting new visitants, making regional products a window-mechanism to the promotion of rural regions heritage and tourism-related services

Artificial Intelligence in Supply Chain Operations Planning: Collaboration and Digital Perspectives

[EN] Digital transformation provide supply chains (SCs) with extensive accurate data that should be combined with analytical techniques to improve their management. Among these techniques Artificial Intelligence (AI) has proved their suitability, memory and ability to manage uncertain and constantly changing information. Despite the fact that a number of AI literature reviews exist, no comprehensive review of reviews for the SC operations planning has yet been conducted. This paper aims to provide a comprehensive review of AI literature reviews in a structured manner to gain insights into their evolution in incorporating new ICTs and collaboration. Results show that hybrization man-machine and collaboration and ethical aspects are understudied.This research has been funded by the project entitled NIOTOME (Ref. RTI2018-102020-B-I00) (MCI/AEI/FEDER, UE). 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An overview of knowledge sharing in new product development

This paper provides an overview of some of the issues in knowledge management related to the sharing of knowledge in new product development. Previous research and concepts reported by international researchers, and examples of the research projects carried out by the authors will be introduced. The paper first provides an overview of the history and importance of innovation and challenges in manufacturing. Then the importance of new product development in the sustainable success of manufacturing enterprises in the globalised business operations is discussed. The formalisation and modelling of product development processes will also be introduced. The concept and different definitions of knowledge management by previous researchers are then introduced, with further discussion on knowledge sharing. At this point, the authors’ research in knowledge sharing is also introduced. Finally, the trend of using social media and Enterprise 2 technologies in knowledge management and sharing is introduced using the recent research projects of the authors as examples

A Proposed Model

Rocha-Penedo, R., Cruz-Jesus, F., & Oliveira, T. (2021). Opposite Outcomes of Social Media Use: A Proposed Model. In S. K. Sharma, Y. K. Dwivedi, B. Metri, & N. P. Rana (Eds.), Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation - IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2020, Proceedings (pp. 524-537). (IFIP Advances in Information and Communication Technology; Vol. 618). Springer. https://doi.org/10.1007/978-3-030-64861-9_46Social media are probably one of the most influential and disruptive technology of the present times. It is ubiquitous and has the capability to influence virtually every aspect of one’s life while, at the same time, also influence the way firms and public organizations operate and communicate with individuals. Although there is a plethora of studies in the IS literature focused on SM adoption and outcomes, studies hypothesizing positive and negative outcomes together are scarce. We propose a comprehensive research model to shed light on SM positive and negative outcomes, and how these affect one’s happiness. We also explore how personality traits can influence these relationships.authorsversionpublishe

Knowledge Management and Organisational Culture

This international Handbook provides a comprehensive overview of key topics, debates and issues within the now well-established field of Knowledge Management (KM)

A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach

E-commerce start-ups have ventured into emerging economies and are growing at a significantly faster pace. Big data has acted like a catalyst in their growth story. Big data analytics (BDA) has attracted e-commerce firms to invest in the tools and gain cutting edge over their competitors. The process of adoption of these BDA tools by e-commerce start-ups has been an area of interest as successful adoption would lead to better results. The present study aims to develop an interpretive structural model (ISM) which would act as a framework for efficient implementation of BDA. The study uses hybrid multi criteria decision making processes to develop the framework and test the same using a real-life case study. Systematic review of literature and discussion with experts resulted in exploring 11 enablers of adoption of BDA tools. Primary data collection was done from industry experts to develop an ISM framework and fuzzy MICMAC analysis is used to categorize the enablers of the adoption process. The framework is then tested by using a case study. Thematic clustering is performed to develop a simple ISM framework followed by fuzzy analytical network process (ANP) to discuss the association and ranking of enablers. The results indicate that access to relevant data forms the base of the framework and would act as the strongest enabler in the adoption process while the company rates technical skillset of employees as the most important enabler. It was also found that there is a positive correlation between the ranking of enablers emerging out of ISM and ANP. The framework helps in simplifying the strategies any e-commerce company would follow to adopt BDA in future. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature