Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
110
result(s) for
"Baskerville, Richard"
Sort by:
Fashion Waves in Information Systems Research and Practice
Building on neo-institutional theory and theories of innovation and diffusion, recent work in the field of management has suggested that management research and practice is characterized by fashions. A management fashion is a relatively transitory belief that a certain management technique leads rational management progress. Using bibliographic research, we apply Abrahamson's management fashion theory to information systems research and practice. Our findings reveal that information systems research and practice, like management research and practice, is indeed characterized by fashions. These \"IS fashion waves\" are relatively transitory and represent a burst of interest in particular topics by IS researchers and practitioners. However, while our findings show that IS research closely parallels practice, we suggest that a more proactive engagement of IS academics is needed in the IS fashion-setting process.
Journal Article
Design Science Research Contributions: Finding a Balance between Artifact and Theory
With the rising interest in Design Science Research (DSR), it is crucial to engage in the ongoing debate on what constitutes an acceptable contribution for publishing DSR - the design artifact, the design theory, or both. In this editorial, we provide some constructive guidance across different positioning statements with actionable recommendations for DSR authors and reviewers. We expect this editorial to serve as a foundational step towards clarifying misconceptions about DSR contributions and to pave the way for the acceptance of more DSR papers to top IS journals.
Journal Article
Emerging Evidence for the Widespread Role of Glutamatergic Dysfunction in Neuropsychiatric Diseases
The monoamine model of depression has long formed the basis of drug development but fails to explain treatment resistance or associations with stress or inflammation. Recent animal research, clinical trials of ketamine (a glutamate receptor antagonist), neuroimaging research, and microbiome studies provide increasing evidence of glutamatergic dysfunction in depression and other disorders. Glutamatergic involvement across diverse neuropathologies including psychoses, neurodevelopmental, neurodegenerative conditions, and brain injury forms the rationale for this review. Glutamate is the brain's principal excitatory neurotransmitter (NT), a metabolic and synthesis substrate, and an immune mediator. These overlapping roles and multiple glutamate NT receptor types complicate research into glutamate neurotransmission. The glutamate microcircuit comprises excitatory glutamatergic neurons, astrocytes controlling synaptic space levels, through glutamate reuptake, and inhibitory GABA interneurons. Astroglia generate and respond to inflammatory mediators. Glutamatergic microcircuits also act at the brain/body interface via the microbiome, kynurenine pathway, and hypothalamus-pituitary-adrenal axis. Disruption of excitatory/inhibitory homeostasis causing neuro-excitotoxicity, with neuronal impairment, causes depression and cognition symptoms via limbic and prefrontal regions, respectively. Persistent dysfunction reduces neuronal plasticity and growth causing neuronal death and tissue atrophy in neurodegenerative diseases. A conceptual overview of brain glutamatergic activity and peripheral interfacing is presented, including the common mechanisms that diverse diseases share when glutamate homeostasis is disrupted.
Journal Article
Generalizing Generalizability in Information Systems Research
Generalizability is a major concern to those who do, and use, research. Statistical, sampling-based generalizability is well known, but methodologists have long been aware of conceptions of generalizability beyond the statistical. The purpose of this essay is to clarify the concept of generalizability by critically examining its nature, illustrating its use and misuse, and presenting a framework for classifying its different forms. The framework organizes the different forms into four types, which are defined by the distinction between empirical and theoretical kinds of statements. On the one hand, the framework affirms the bounds within which statistical, sampling-based generalizability is legitimate. On the other hand, the framework indicates ways in which researchers in information systems and other fields may properly lay claim to generalizability, and thereby broader relevance, even when their inquiry falls outside the bounds of sampling-based research.
Journal Article
Breaking the Privacy Kill Chain: Protecting Individual and Group Privacy Online
Online social networks (OLSNs) are electronically-based social milieux where individuals gather virtually to socialize. The behavior and characteristics of these networks can provide evidence relevant for detecting and prosecuting policy violations, crimes, terrorist activities, subversive political movements, etc. Some existing methods and tools in the fields of business analytics and digital forensics are useful for such investigations. While the privacy rights of individuals are widely respected, the privacy rights of social groups are less well developed. In the current development of OLSNs and information technologies, the compromise of group privacy may lead to the violation of individual privacy. Adopting an explorative literature review, we examine the privacy kill chain that compromises group privacy as a means to compromise individual privacy. The latter is regulated, while the former is not. We show how the kill chain makes the need for protecting group privacy important and feasible from the perspectives of social, legal, ethical, commercial, and technical perspectives. We propose a research agenda to help societies and organizations strike the proper balance between the benefits and costs of both OLSNs and investigative technologies.
Journal Article
Conceptualizing Generalizability: New Contributions and a Reply
Tsang and Williams offer some good and provocative ideas in their critique o f our earlier article on generalizing and generalizability. In this essay we will advance some new ideas by building on those collected in both Tsang and Williams and our original article (Lee and Baskerville 2003). Because IS is a pluralist scientific discipline, one in which both qualitative and quantitative (and both interpretive and positivist) research approaches are valued, “generalize” is unlikely to be a viable term or concept if only one IS research paradigm may lay claim to it and excludes others from using it. Both papers agree on this point, but approach the problem differently. Where we originally generalized generalizability by offering new language, Tsang and Williams conceptualize generalizability by framing it more closely to its older, more statistically oriented form. We agree about the importance o f induction and about the classification or taxonomy of different types o f induction. We build further in this essay, advancing the ethical questions raised by generalization: A formulation ofjudgment calls that need to be made when generalizing a theory to a new setting. We further demonstrate how the process of generalizing may actually proceed, based on the common ground between Tsang and Williams and our original article.
Journal Article
The impact of implicit bias on business-to-business marketing
Purpose
Physical social cues can influence the buyer and seller in business-to-business (B2B) marketing. The current behavioural model does not account for the role of implicit bias. The purpose of this paper is to present that relationship and introduce a process model to weaken implicit bias through training with the employment of transformational conversation.
Design/methodology/approach
With social cues as the predecessor to inferences, there is the potential for implicit bias to derail relationship building in a B2B context. The author’s qualitative field study offers guidance for businesses to make informed decisions about implicit bias training.
Findings
The study findings show that an interactive workshop following a process model with the addition of transformational conversation can weaken implicit bias.
Research limitations/implications
The research was conducted with a small cohort of information technology professionals. More research should be done specifically with sellers and buyers in various industries over a longer period of time with periodic follow-up on sales performance and relationship building.
Practical implications
Minority groups had a combined buying power of $3.9tn in 2018. For sellers to succeed, they have to be able to modulate the implicit biases that interfere with good sales relationships.
Originality/value
This paper introduces implicit bias as a moderator into the conceptual framework of the behavioural response to social cues in the B2B context and offers a model of implicit bias training using a process model with transformational conversation.
Journal Article
Information Systems as a Reference Discipline
The conventional wisdom amongst information systems (IS) researchers is that information systems is an applied discipline drawing upon other, more fundamental, reference disciplines. These reference disciplines are seen as having foundational value for IS. We believe that it is time to question the conventional wisdom. We agree that many disciplines are relevant for IS researchers, but we suggest a re-think of the idea of \"reference disciplines\" for IS. In a sense, IS has come of age. Perhaps the time has come for IS to become a reference discipline for others.
Journal Article
The theoretical foundations of knowledge management
Knowledge management has emerged as an important field for practice and research in information systems. This field is building on theoretical foundations from information economics, strategic management, organizational culture, organizational behavior, organizational structure, artificial intelligence, quality management, and organizational performance measurement. These theories are being used as foundations for new concepts that provide a rationale for managing knowledge, define the process of managing knowledge, and enable us to evaluate the results of this process. Based on articles published between 1995 and 2005, new concepts are emerging, including knowledge economy, knowledge alliance, knowledge culture, knowledge organization, knowledge infrastructure, and knowledge equity. An analysis of the theoretical foundations of knowledge management reveals a healthy arena with a strong foundation and clear directions for future work.
Journal Article