Search results

Many organizations are seeking unicorn data scientists, that rarest of breeds that can do it all. They are said to be experts in many traditionally distinct disciplines, including mathematics, statistics, computer science, artificial intelligence, and more. The purpose of this paper is to describe authors’ pursuit of these elusive mythical creatures.

Qualitative data were collected through semi-structured interviews with managers/directors from nine Australian state and federal government agencies with relatively mature data science functions.

Although the authors failed to find evidence of unicorn data scientists, they are pleased to report on six key roles that are considered to be required for an effective data science team. Primary and secondary skills for each of the roles are identified and the resulting framework is then used to illustratively evaluate three data science Master-level degrees offered by Australian universities.

Given that the findings presented in this paper have been based on a study with large government agencies with relatively mature data science functions, they may not be directly transferable to less mature, smaller, and less well-resourced agencies and firms.

The skills framework provides a theoretical contribution that may be applied in practice to evaluate and improve the composition of data science teams and related training programs.

The purpose of this paper is to discuss strategies for maximizing organizational absorptive capacity.

The views presented here have been derived from authors’ extensive research and professional experience. Support for the claims made is provided through anecdotal evidence and related literature.

The viewpoint discusses how organizational absorptive capacity may be maximized through actions and interactions of a wide range of individual, managerial, organizational, and inter-organizational factors.

The viewpoint may assist practitioners with developing strategies for improving vicarious learning. From a theoretical perspective, the claims made in the paper present fertile ground for future empirical testing.

This paper aims to answer calls for more research on how contextual factors influence the effectiveness of knowledge reuse.

The findings are based on an in-depth case study conducted in the sales department of a large white goods company in Australia.

Six contextual factors identified include purpose, time pressure, language, accessibility, author and date. A mismatch in purpose between knowledge creation and reuse is most likely to reduce knowledge reuse effectiveness. Time pressures may lead to an increase in errors associated with search question definition as well as knowledge search and selection, while unfamiliar language is likely to lead to misinterpretations of content. Knowledge accessibility issues are of particular concern in time-sensitive situations. Authorship and creation date information may facilitate knowledge reuse by allowing consumers to filter unwanted knowledge.

This study contributes to knowledge management theory by providing an exploration of the ways in which contextual factors influence knowledge and reuse effectiveness, and of the possible relationships between those factors. The paper also provides knowledge management practitioners with tangible guidelines on how to increase the effectiveness of organizational knowledge reuse.

Although there is widespread agreement that organizational agility is increasingly becoming critical to achieving sustained competitive advantage, there is little consensus on what exactly constitutes organizational agility, or how it may be assessed and improved. The purpose of this paper is to contribute toward operationalization of the organizational agility construct through a high-level conceptual framework grounded in dynamic capabilities.

This is a conceptual paper that presents a new organizational agility framework, which draws from, and builds on, the existing literature.

This paper defines organizational agility as rapid, continuous and systematic evolutionary adaptation and entrepreneurial innovation directed at gaining and/or maintaining competitive advantage. The 5S Organizational Agility Framework proposes five dynamic capabilities (sensing, searching, seizing, shifting and shaping) underpinning organizational agility.

The framework presented in this paper contributes toward operationalization of the organizational agility construct.

Much of the contemporary methodological literature tends to be self-referential and frequently ignorant of the breadth and depth of philosophical assumptions underpinning various methodological positions. Without a clear understanding of the philosophical underpinnings, logically deriving applicable validity criteria becomes very difficult (if not impossible). As a result, the purpose of this paper is to present a critical review of historical and more recent philosophical arguments for qualitative, quantitative, and mixed methods research in social science.

A targeted review of seminal philosophy of science papers dealing with ontological and epistemological assumptions of, and relation between, natural and social science.

The paper highlights the link between ontological/epistemological assumptions and methodological choices in social science. Key differences between the natural and social science are discussed and situated within the main paradigms.

The paper draws attention to a range of difficulties associated with the adoption of the natural sciences and the related positivist approaches as a role model for work in the social sciences. Unique contributions of interpretive and critical approaches are highlighted. The paper may be of value to scholars who are interested in the historical context of the still-ongoing qualitative-quantitative debate.

This study aims to investigate the everyday life information seeking behavior of transgender people in Pakistan.

A quantitative study, based on a survey design, was conducted to explore the everyday information needs of transgender people along with the types and frequency of using information sources. This study further explored the barriers to seeking everyday life information. Data were collected from 378 transgender people from Pakistan.

Music related information was the most important daily life information need and television appeared as one of the primary information sources frequently consulted by the transgender people. The respondents revealed a variety of challenges in accessing information including lack of education, lack of understanding about available information sources, biased treatment by the public and lack of technological skills. Furthermore, a statistically significant difference was found in everyday information needs and sources consulted on the basis of their age and education.

The findings provide a guideline to educate information providers, government agencies and other stakeholders about the information needs of this marginalized community in Pakistan. This study also suggests ways in which stakeholder may improve information systems and services to better assist transgender people.

In this research, we empirically examine the impact of Business Intelligence (BI) systems on operational capability in high-tech sectors. We also seek to understand the contextual factors that facilitate the adoption of BI systems.

We adopt Propensity Score Matching (PSM) and event study methodology, and analyze the financial data for a sample of 144 US firms which adopted BI systems from 2005–2014, and compare them to control firms without BI systems.

We find that the implementation of BI systems leads to higher operational capability, particularly for large high-tech firms with high technology intensity. We further show that technology intensity and firm size are important contextual factors for firms to reap the benefits of BI systems.

We demonstrate how benefits from the adoption of BI systems are likely to be strengthened. The benefits of BI systems depend on firms' technology intensity and firm size of high-tech firms. Accessing relevant and timely reports for decision-making is particularly important in the highly dynamic, volatile and competitive high-tech sectors.

We contribute to the literature by providing empirical evidence that the adoption of BI systems can improve firms' operational capability and show that technology intensity and firm size are important contextual factors for firms to reap the benefits of BI systems. We advance the understanding regarding the contextual factors in which firms are more likely to gain additional benefits from their adoptions of BI systems.