The Effects of the Quantification of Faculty Productivity: Perspectives from the Design Science Research Community

In recent years, efforts to assess faculty research productivity have focused more on the measurable quantification of academic outcomes. For benchmarking academic performance, researchers have developed different ranking and rating lists that define so-called high-quality research. While many scholars in IS consider lists such as the Senior Scholar’s basket (SSB) to provide good guidance, others who belong to less-mainstream groups in the IS discipline could perceive these lists as constraining. Thus, we analyzed the perceived impact of the SSB on information systems (IS) academics working in design science research (DSR) and, in particular, how it has affected their research behavior. We found the DSR community felt a strong normative influence from the SSB. We conducted a content analysis of the SSB and found evidence that some of its journals have come to accept DSR more. We note the emergence of papers in the SSB that outline the role of theory in DSR and describe DSR methodologies, which indicates that the DSR community has rallied to describe what to expect from a DSR manuscript to the broader IS community and to guide the DSR community on how to organize papers for publication in the SSB

Developing a frame of reference for ex-ante IT/IS investment evaluation

Investment appraisal techniques are an integral part of many traditional capital budgeting processes. However, the adoption of Information Systems (IS) and the development of resulting infrastructures are being increasingly viewed on the basis of consumption. Consequently, decision-makers are now moving away from the confines of rigid capital budgeting processes, which have traditionally compared IS with non-IS-related investments. With this in mind, the authors seek to dissect investment appraisal from the broader capital budgeting process to allow a deeper understanding of the mechanics involved with IS justification. This analysis presents conflicting perspectives surrounding the scope and sensitivity of traditional appraisal methods. In contributing to this debate, the authors present taxonomies of IS benefit types and associated natures, and discuss the resulting implications of using traditional appraisal techniques during the IS planning and decision-making process. A frame of reference that can be used to navigate through the variety of appraisal methods available to decision-makers is presented and discussed. Taxonomies of appraisal techniques that are classified by their respective characteristics are also presented. Perspectives surrounding the degree of involvement that financial appraisal should play during decision making and the limitations surrounding investment appraisal techniques are identifie

The Potential of Critical E-Applications for Engaging SMEs in E Business: A Provider Perspective

YesAgainst a background of the low engagement of SMEs in e-business this paper investigates the emergence of, and potential for, critical e-applications defined as `an e-business application, promoted by a trusted third party, which engages a significant number of SMEs by addressing an important shared business concern within an aggregation.¿ By a review of secondary data and empirical investigation with service providers and other intermediaries the research shows that such applications can facilitate the e-business engagement of SMEs. There are three key findings, namely: the emergence of aggregation specific e-business applications; the emergence of collaboratively based `one to many¿ business models; and the importance of trusted third parties in the adoption of higher complexity e-business applications by SMEs. Significantly this work takes a deliberately provider perspective and complements the already considerable literature on SME IT adoption from a user and network perspective. In terms of future research the importance of a better conceptual understanding of the impact of complexity on the adoption of IT by SMEs is highlighted

A review of studies on information systems and SMEs in high ranked IS journals (2000-2014)

This paper identifies novel approaches to future small and medium enterprise (SME) research from a review of articles, and then introduces the papers in this AJIS special section which evidence these approaches. More specifically, the paper makes an important contribution by reviewing 61 articles in high ranked IS journals (2000-2014) and introducing three new facets which are used to analyse research on SME adoption/use of IS (units of analysis, SME sizes and SME types) not considered in previous literature review studies. These facets provide the basis for proposing various future research opportunities. The editorial then introduces the four papers in this special section covering the research theme on SMEs, and highlights the contributions they make using the three facets

The Impact of Business Intelligence and Analytics Adoption on Decision Making Effectiveness and Managerial Work Performance

Business Intelligence and Analytics systems have the capability to enable organizations to better comprehend their business and to increase the quality of managerial decisions, and consequently improve their performance. Recently, organizations have embraced the idea that data becomes a core asset, and this belief also changes the culture of the organization; data and analytics now determine a data-driven culture, which makes way for more effective data-driven decisions. To the best of our knowledge, there are few studies that investigate the effects of BI&A adoption on individual decision-making effectiveness and managerial work performance. This paper aims to contribute to bridging this gap by providing a research model that examines the relationship between BI&A adoption and manager’s decision-making effectiveness and then his individual work performance. The research model also theorizes that a data-driven culture promotes the BI&A adoption in the organization. Using specific control variables, we also expect to observe differences between different departments and managerial positions, which will provide practical implications for companies that work on BI&A adoption

A review of studies on information systems and SMEs in high ranked IS journals (2000-2014)

This paper identifies novel approaches to future small and medium enterprise (SME) research from a review of articles, and then introduces the papers in this AJIS special section which evidence these approaches. More specifically, the paper makes an important contribution by reviewing 61 articles in high ranked IS journals (2000-2014) and introducing three new facets which are used to analyse research on SME adoption/use of IS (units of analysis, SME sizes and SME types) not considered in previous literature review studies. These facets provide thebasis for proposing various future research opportunities. The editorial then introduces the four papers in this special section covering the research theme on SMEs, and highlights the contributions they make using the three facets

Qualitative Research in three IS journals: Unequal emphasis but common rigour, depth and richness

In this paper we attempt to show the actual and potential contribution of qualitative re- search in information systems. We looked at two recent volumes (2011-12) of MISQ, EJIS and SIM and found that there were a low proportion of qualitative papers in MISQ, a bal- ance of qualitative to quantitative papers in EJIS and a high proportion of qualitative pa- pers in SIM. We illustrate the contributions of qualitative research in IS through discussing nine papers (three from each journal) in some detail and then the other qualitative papers in these issues (61 of 217 papers in total) in the discussion section. A variety of methods, theories and contributions to research and practice are discussed. The depth, rigour and detail of many qualitative research studies are impressive and make such work convincing to the reader. Some suggestions are made to increase the profile of qualitative research in information systems

Information Technology and the Search for Organizational Agility: A Systematic Review with Future Research Possibilities

Organizations are increasingly turning to information technology (IT) to help them respond to unanticipated environmental threats and opportunities. In this paper, we introduce a systematic review of the literature on IT-enabled agility, helping to establish the boundary between what we know and what we don’t know. We base our review on a wide body of literature drawn from the AIS Basket of Eight IT journals, a cross-section of non-Basket journals, IT practitioner outlets, and premier international IS conferences. We review the use of different theoretical lenses used to investigate the relationship between IT and organizational agility and how the literature has conceptualized agility, its antecedents, and consequences. We also map the evolution of the literature through a series of stages that highlight how researchers have built on previous work. Lastly, we discuss opportunities for future research in an effort to close important gaps in our understanding

Towards Design Principles for Data-Driven Decision Making: An Action Design Research Project in the Maritime Industry

Data-driven decision making (DDD) refers to organizational decision-making practices that emphasize the use of data and statistical analysis instead of relying on human judgment only. Various empirical studies provide evidence for the value of DDD, both on individual decision maker level and the organizational level. Yet, the path from data to value is not always an easy one and various organizational and psychological factors mediate and moderate the translation of data-driven insights into better decisions and, subsequently, effective business actions. The current body of academic literature on DDD lacks prescriptive knowledge on how to successfully employ DDD in complex organizational settings. Against this background, this paper reports on an action design research study aimed at designing and implementing IT artifacts for DDD at one of the largest ship engine manufacturers in the world. Our main contribution is a set of design principles highlighting, besides decision quality, the importance of model comprehensibility, domain knowledge, and actionability of results