Data and Predictive Analytics Use for Logistics and Supply Chain Management

Purpose The purpose of this paper is to explore the social process of Big Data and predictive analytics (BDPA) use for logistics and supply chain management (LSCM), focusing on interactions among technology, human behavior and organizational context that occur at the technology’s post-adoption phases in retail supply chain (RSC) organizations. Design/methodology/approach The authors follow a grounded theory approach for theory building based on interviews with senior managers of 15 organizations positioned across multiple echelons in the RSC. Findings Findings reveal how user involvement shapes BDPA to fit organizational structures and how changes made to the technology retroactively affect its design and institutional properties. Findings also reveal previously unreported aspects of BDPA use for LSCM. These include the presence of temporal and spatial discontinuities in the technology use across RSC organizations. Practical implications This study unveils that it is impossible to design a BDPA technology ready for immediate use. The emergent process framework shows that institutional and social factors require BDPA use specific to the organization, as the technology comes to reflect the properties of the organization and the wider social environment for which its designers originally intended. BDPA is, thus, not easily transferrable among collaborating RSC organizations and requires managerial attention to the institutional context within which its usage takes place. Originality/value The literature describes why organizations will use BDPA but fails to provide adequate insight into how BDPA use occurs. The authors address the “how” and bring a social perspective into a technology-centric area

Mapping domain characteristics influencing Analytics initiatives: The example of Supply Chain Analytics

Purpose: Analytics research is increasingly divided by the domains Analytics is applied to. Literature offers little understanding whether aspects such as success factors, barriers and management of Analytics must be investigated domain-specific, while the execution of Analytics initiatives is similar across domains and similar issues occur. This article investigates characteristics of the execution of Analytics initiatives that are distinct in domains and can guide future research collaboration and focus. The research was conducted on the example of Logistics and Supply Chain Management and the respective domain-specific Analytics subfield of Supply Chain Analytics. The field of Logistics and Supply Chain Management has been recognized as early adopter of Analytics but has retracted to a midfield position comparing different domains. Design/methodology/approach: This research uses Grounded Theory based on 12 semi-structured Interviews creating a map of domain characteristics based of the paradigm scheme of Strauss and Corbin. Findings: A total of 34 characteristics of Analytics initiatives that distinguish domains in the execution of initiatives were identified, which are mapped and explained. As a blueprint for further research, the domain-specifics of Logistics and Supply Chain Management are presented and discussed. Originality/value: The results of this research stimulates cross domain research on Analytics issues and prompt research on the identified characteristics with broader understanding of the impact on Analytics initiatives. The also describe the status-quo of Analytics. Further, results help managers control the environment of initiatives and design more successful initiatives.DFG, 414044773, Open Access Publizieren 2019 - 2020 / Technische Universität Berli

Being Healthy: a Grounded Theory Study of Help Seeking Behaviour among Chinese Elders living in the UK

The health of older people is a priority in many countries as the world’s population ages. Attitudes towards help seeking behaviours in older people remain a largely unexplored field of research. This is particularly true for older minority groups where the place that they have migrated to presents both cultural and structural challenges. The UK, like other countries,has an increasingly aging Chinese population about who relatively little is known. This study used a qualitative grounded theory design following the approach of Glaser (1978). Qualitative data were collected using semi-structured interviews with 33 Chinese elders who were aged between 60 and 84, using purposive and theoretical sampling approaches. Data were analysed using the constant comparative method until data saturation occurred and a substantive theory was generated. ‘Being healthy’ (the core category) with four interrelated categories: self-management, normalizing/minimizing, access to health services, and being cured form the theory. The theory was generated around the core explanations provided by participants and Chinese elders’ concerns about health issues they face in their daily life. We also present data about how they direct their health-related activities towards meeting their physical and psychological goals of being healthy. Their differential understanding of diseases and a lack of information about health services were potent predictors of non�help seeking and ‘self’ rather than medical management of their illnesses. This study highlights the need for intervention and health support for Chinese elders

Living positively with dementia: a systematic review and synthesis of the qualitative literature

Objective: Little is known about how and to what extent people with dementia live positively with their condition. This study aimed to review and carry out a synthesis of qualitative studies where accounts of the subjective experiences of people with dementia contained evidence of positive states, experiences or attributes. Methods: A meta-synthesis was undertaken to generate an integrated and interpretive account of the ability of people with dementia to have positive experiences. A methodological quality assessment was undertaken to maximize the reliability and validity of this synthesis and to contextualize the findings with regard to methodological constraints and epistemological concepts. Findings: Twenty-seven papers were included. Three super-ordinate themes relating to positive experiences and attributes were identified, each with varying and complementing sub-themes. The first super-ordinate theme related to the experience of engaging with life in ageing rather than explicitly to living with dementia. The second theme related to engaging with dementia itself and comprised the strengths that people can utilize in facing and fighting the condition. The third theme captured how people with dementia might transcend the condition and seek ways to maintain identity and even achieve personal growth. Conclusions: This review provides a first step towards understanding what conceptual domains might be important in defining positive outcomes for people who live with dementia. Highlighting the potential for people to have positive experiences in spite of or even because of their dementia has important implications for de-stigmatizing dementia and will enhance person-centred approaches to care

Qualitative software engineering research -- reflections and guidelines

Researchers are increasingly recognizing the importance of human aspects in software development and since qualitative methods are used to, in-depth, explore human behavior, we believe that studies using such techniques will become more common. Existing qualitative software engineering guidelines do not cover the full breadth of qualitative methods and knowledge on using them found in the social sciences. The aim of this study was thus to extend the software engineering research community's current body of knowledge regarding available qualitative methods and provide recommendations and guidelines for their use. With the support of an epistemological argument and a literature review, we suggest that future research would benefit from (1) utilizing a broader set of research methods, (2) more strongly emphasizing reflexivity, and (3) employing qualitative guidelines and quality criteria. We present an overview of three qualitative methods commonly used in social sciences but rarely seen in software engineering research, namely interpretative phenomenological analysis, narrative analysis, and discourse analysis. Furthermore, we discuss the meaning of reflexivity in relation to the software engineering context and suggest means of fostering it. Our paper will help software engineering researchers better select and then guide the application of a broader set of qualitative research methods.Comment: 30 page

What Is Grounded Theory Good For?

Grounded theory (GT) made its appearance in the social sciences in 1967 with publication of Barney Glaser and Anselm Strauss’s The Discovery of Grounded Theory. Glaser and Strauss advocated for systematically discovering and interpreting empirical data to generate theory, in contrast to testing or verifying theory derived from a priori assumptions. In the intervening 50 years, GT has spread into a wide range of fields including journalism and mass communication. Variations of the method have been developed, and debate has ensued about its relation to positivism and constructivism as well as pragmatism and postmodernism and about its value for critical race theory, feminist theory, and indigenous and other critical methods and theories. When and how is it best used? Is it misunderstood or misused by some? Is it more than a method? We asked senior scholars with expertise in GT to reflect on these issues, beginning with Vivian Martin, coeditor with Astrid Gynnild of Grounded Theory: The Philosophy, Method, and Work of Barney Glaserpublished by BrownWalker Press (2012). Martin, professor and chair of the Department of Journalism at Central Connecticut State University, argues the method has been misunderstood even by those who use it, often conflated with qualitative studies, with only two GT studies published in journalism and mass communication. It is practical and subversive, she observes, with the ability to develop new concepts and link ideas across disciplines. She advocates a closer adherence to Glaser’s original intentions for the method. Responding to Martin is Clifton Scott, associate professor in the Department of Communication Studies at the University of North Carolina at Charlotte. Scott is the author of “Grounded Theory” in Encyclopedia of Communication Theory, edited by Steven Littlejohn and Sonja Foss published by SAGE (2009). While agreeing with Martin that the name often is misapplied, Scott argues for less preoccupation with policing the purity of the method in favor of developing multiple approaches appropriate to it as a methodology. Reacting to both Martin and Scott, Bonnie Brennen critiques the original GT approach as neglecting “methodological self-consciousness,” which would uncover researchers “theoretical assumptions, power relations, class positions and personal experiences.” Brennen, the Nieman Professor of Journalism in the Diederich College of Communication at Marquette University, is the author of Qualitative Research Methods for Media Studies, second edition, published by Routledge in 2017. Finally, Meenakshi Gigi Durham, responding to all three, expresses optimism about GT’s potential to spur new inquiry through exploration of social life, while she proposes that, like all theory, it be seen as necessarily dynamic and evolutionary. Durham is a professor in the School of Journalism and Mass Communication at the University of Iowa and associate dean of the College of Liberal Arts and Sciences. She is the editor with Douglas M. Kellner of Media and Cultural Studies: Keyworks, second edition, published by Blackwell (2011). Lana Rakow, Associate Editor Louisa Ha, Edito

Using grounded theory to understand software process improvement: A study of Irish software product companies

Software Process Improvement (SPI) aims to understand the software process as it is used within an organisation and thus drive the implementation of changes to that process to achieve specific goals such as increasing development speed, achieving higher product quality or reducing costs. Accordingly, SPI researchers must be equipped with the methodologies and tools to enable them to look within organisations and understand the state of practice with respect to software process and process improvement initiatives, in addition to investigating the relevant literature. Having examined a number of potentially suitable research methodologies, we have chosen Grounded Theory as a suitable approach to determine what was happening in actual practice in relation to software process and SPI, using the indigenous Irish software product industry as a test-bed. The outcome of this study is a theory, grounded in the field data, that explains when and why SPI is undertaken by the software industry. The objective of this paper is to describe both the selection and usage of grounded theory in this study and evaluate its effectiveness as a research methodology for software process researchers. Accordingly, this paper will focus on the selection and usage of grounded theory, rather than results of the SPI study itself

Understanding the role of knowledge in the practice of expert nephrology nurses in Australia

This paper, which is abstracted from a larger study into the acquisition and exercise of nephrology nursing expertise, aims to explore the role of knowledge in expert practice. Using grounded theory methodology, the study involved 17 registered nurses who were practicing in a metropolitan renal unit in New South Wales, Australia. Concurrent data collection and analysis was undertaken, incorporating participants' observations and interviews. Having extensive nephrology nursing knowledge was a striking characteristic of a nursing expert. Expert nurses clearly relied on and utilized extensive nephrology nursing knowledge to practice. Of importance for nursing, the results of this study indicate that domain-specific knowledge is a crucial feature of expert practice

A qualititative approach to HCI research

Whilst science has a strong reliance on quantitative and experimental methods, there are many complex, socially based phenomena in HCI that cannot be easily quantified or experimentally manipulated or, for that matter, ethically researched with experiments. For example, the role of privacy in HCI is not obviously reduced to numbers and it would not be appropriate to limit a person's privacy in the name of research. In addition, technology is rapidly changing – just think of developments in mobile devices, tangible interfaces and so on – making it harder to abstract technology from the context of use if we are to study it effectively. Developments such as mediated social networking and the dispersal of technologies in ubiquitous computing also loosen the connection between technologies and work tasks that were the traditional cornerstone of HCI. Instead, complex interactions between technologies and ways of life are coming to the fore. Consequently, we frequently find that we do not know what the real HCI issues are before we start our research. This makes it hard, if not actually impossible, to define the variables necessary to do quantitative research, (see Chapter 2). Within HCI, there is also the recognition that the focus on tasks is not enough to design and implement an effective system. There is also a growing need to understand how usability issues are subjectively and collectively experienced and perceived by different user groups (Pace, 2004; Razavim and Iverson, 2006). This means identifying the users' emotional and social drives and perspectives; their motivations, expectations, trust, identity, social norms and so on. It also means relating these concepts to work practices, communities and organisational social structures as well as organisational, economic and political drivers. These issues are increasingly needed in the design, development and implementation of systems to be understood both in isolation and as a part of the whole. HCI researchers are therefore turning to more qualitative methods in order to deliver the research results that HCI needs.With qualitative research, the emphasis is not on measuring and producing numbers but instead on understanding the qualities of a particular technology and how people use it in their lives, how they think about it and how they feel about it. There are many varied approaches to qualitative research within the social sciences depending on what is being studied, how it can be studied and what the goals of the research are.Within HCI, though, grounded theory has been found to provide good insights that address well the issues raised above (Pace, 2004; Adams, Blandford and Lunt, 2005; Razavim and Iverson, 2006). The purpose of this chapter is to give an overview of how grounded theory works as a method. Quantitative research methods adopt measuring instruments and experimental manipulations that can be repeated by any researcher (at least in principle) and every effort is made to reduce the influence of the researcher on the researched, which is regarded as a source of bias or error. In contrast, in qualitative research, where the goal is understanding rather than measuring and manipulating, the subjectivity of the researcher is an essential part of the production of an interpretation. The chapter therefore discusses how the influence of the researcher can be ameliorated through the grounded theory methodology whilst also acknowledging the subjective input of the researcher through reflexivity. The chapter also presents a case study of how grounded theory was used in practice to study people's use and understanding of computer passwords and related security