Journal of Systems and Information Technology

The purpose of this paper is to describe and explain the case of a major knowledge transfer project conducted over seven years within a region of the UK.

As part of this project a large survey is conducted on an annual basis which aims to track eBusiness adoption amongst small and medium‐sized enterprises (SMEs) in the region and the effects of such adoption upon regional development.

The paper presents findings from this longitudinal study and discusses these findings in terms of conceptions of eBusiness and the importance of developing more sophisticated instruments for assessing eBusiness maturity amongst SMEs. From the research there is clear evidence of the role of eBusiness adoption as a driver of regional development. The benefits from the initial Opportunity Wales programme are still materializing several years after the completion of the first three years of the seven year project.

This is a study of one region in Europe. Further regional cases are required to support the findings.

The findings should help regional planners and national governments assess the value of eBusiness initiatives.

This paper describes the case of a programme funded by the European Union involved with the transfer of eBusiness knowledge to SMEs conducted over the period April 2001 to September 2007 within a major region of the UK. The scope of the research project and its longitudinal nature make the study original.

This paper has two purposes. The first purpose is to study how groups and members of an organization use collaborative technology in accomplishing their everyday work. The second purpose is to study how interpretive researchers can use an ethnographic research approach, called the strip resolution process (SRP), to make explicit the process by which they achieve their interpretation, rather than provide just their interpretation leaving the process as a black box.

Interpretive case study using interviews, observation, participant‐observation, and study of documents.

For IS researchers, a key finding is that the SRP facilitates both an understanding of research phenomena from the members’ perspective and a means of explaining how that understanding was achieved. For IS practitioners, a key finding is that organizational work practices and reward structures should be “co‐designed” with the collaborative technology's functionalities to accomplish organizational objectives.

This study used ethnographically informed approaches, including the SRP, to collect and interpret data. However, the duration spent at the organizational site, 25 days spread over eight months, would not qualify this study as an ethnography based on the recommended duration of 12 months of sustained fieldwork.

This study's findings have two implications for IS practice. The first implication is that practitioners planning to deploy collaborative technology in an organization should not focus primarily, or even mainly, on the technology's functionalities. Instead, they should pay most attention to the organization's work practices and reward structures. Work practices and reward structures should be “co‐designed” with the technology's functionalities to accomplish organizational objectives. The second implication is that the SRP could help close the “understanding gap” between IS practitioners and system stakeholders. Hence, a practitioner can use the SRP as a supplement to any systems development methodology for analyzing system requirements.

The value of this paper for IS interpretive researchers is that it explains and illustrates how an ethnographic research approach called the SRP can be used by a researcher to understand research phenomena from the members’ perspective, test and validate his interpretation, and reveal how he reached his interpretation and not just provide his interpretation leaving the process of achieving it a black box. The value of this paper for IS practitioners is that it emphasizes the importance of “co‐designing” work practices and reward structures with a collaborative system's functionalities and provides them specific questions to ask, and reflect upon, before designing and deploying a collaborative system. In addition, practitioners can use the SRP as a tool to supplement any systems development methodology to help reduce the understanding gap between themselves and the system stakeholders.

The purpose of this paper is to examine social media security risks and existing mitigation techniques in order to gather insights and develop best practices to help organizations address social media security risks more effectively.

This paper begins by reviewing the disparate discussions in literature on social media security risks and mitigation techniques. Based on an extensive review, some key insights were identified and summarized to help organizations more effectively address social media security risks.

Many organizations do not have effective social media security policy in place and are unsure of how to develop effective social media security strategies to mitigate social media security risks. This paper provides guidance to organizations to mitigate social media security risks that may threaten the organizations.

The paper consolidates the fragmented discussion in literature and provides an in‐depth review of social media security risks and mitigation techniques. Practical insights are identified and summarized from an extensive literature review. Sharing these insights has the potential to encourage more discussion on best practices for reducing the risks of social media to organizations.

The purpose of this paper is to develop an innovative information hiding algorithm.

The proposed algorithm is based on image histogram statistics. Cumulative‐peak histogram regions are utilized to hide multiple bits of the secret message by performing histogram bin substitution. The embedding capacity, otherwise known as payload, and peak signal to noise ratio (PSNR), as well as security, are the main metrics used to evaluate the performance of the proposed algorithm.

According to the obtained results, the proposed algorithm shows high embedding capacity and security at comparable PSNR compared with existing hiding information techniques.

The simplicity, security, random distribution of embedding pixels, and on‐demand high capacity are the key advantages of the proposed approach.