Data governance and digital innovation: A translational account of practitioner issues for IS research

There is widespread agreement in research and practice that data governance is an instrumental element to help organizations leverage and protect data. IS research has observed that our practical and our scientific knowledge of data governance remains limited, and the increasing ability for organizations to generate, acquire, store, transform, process and analyze data calls for us to further identify and address issues on the topic. Striving to contribute to answer this pressing need, we argue that understanding the nature and the implications of governance mechanisms is of high importance as it is these mechanisms that effectively instantiate data governance in an organization. Building on our experience preparing and teaching workshops to 102 executives on the topic, we adopt a position of engaged scholarship and provide a translational account of our pedagogical experience on data governance, highlighting four outstanding themes for IS research. We argue that these four themes—(1) embracing data governance without compromising digital innovation; (2) enacting data governance through repertoires of mechanisms; (3) moving away from data governance toward governing data; and (4) moving away from a view of data at rest to adopt a service-based perspective on data governance—are highly relevant for practice and research. In our view, studying these themes will contribute to inform practitioners who often struggle with the implementation of comprehensive data governance programs and frameworks. At the same time, the ability to leverage theory to study these themes can help research generate novel theoretical contributions on data governance, helping future research on the topic.     

How information systems help create OM capabilities: Consequents and antecedents of operational absorptive capacity

In contemporary business environments, the ability to manage operational knowledge is an important predictor of organizational competitiveness. Organizations invest large sums in various types of information technologies (ITs) to manage operational knowledge. Because of their superior storage, processing and communication capabilities, ITs offer technical platforms to build knowledge management (KM) capabilities. However, merely acquiring ITs are not sufficient, and organizations must structure information system (IS) designs to leverage ITs for building KM capabilities. We study how technical and strategic IS designs enhance operational absorptive capacity (OAC) – the KM capability of an operations management (OM) department. Specifically, we use a capabilities perspective of absorptive capacity to examine potential absorptive capacity (POAC) and realized absorptive capacity (ROAC) capabilities – the two OAC capabilities that create and utilize knowledge, respectively. Our theory proposes that integrated IS capability, – an aspect of technical IS design – is an antecedent of POAC and ROAC capabilities, and business-IT alignment – an aspect of strategic IS design – moderates the relationship between integrated IS capability and ROAC capability. Combining data gleaned from a multi-respondent survey with archival data from COMPUSTAT, we test our hypotheses using a dataset from 153 manufacturing organizations. By proposing that IS design enables an OM department's KM processes, i.e., the POAC and ROAC capabilities, our interdisciplinary theoretical framework opens the “black box” of OAC and contributes to improved understanding of IS and OM synergies. We offer a detailed discussion of our contributions to the literature at the IS-OM interface and implications for practitioners.     

Are firms ready to use big data analytics to create value? The role of structural and psychological readiness

In this study, we leverage Information Technology (IT) readiness literature and resource-based view (RBV) to investigate the impact of firm structural and psychological readiness on firm value creation, as mediated by big data analytics usage. The proposed research model is empirically validated using survey data from 179 senior IT managers. The findings demonstrate the importance of both structural (i.e. IT infrastructure capability, tools functionality, employee analytical capability, and bigness of data) and psychological readiness (i.e. IT proactive climate) in enhancing firm value creation through big data analytics usage. These results provide interesting theoretical and practical insights.     

Identity Building Through Mediation by African Tailors

In contemporary African cities, dressing well and wearing exclusive garments has become crucial for people in search of identity, distinction and individuality. The research presented in this article, situated at disciplinary intersections of cultural studies, fashion practices and sustainability, provides a case study of African tailors conducted in Maputo and Lisbon, with a special focus on identity building of African immigrants in Portugal. However, the role of tailors in this acculturation process has been ignored in the consumption approach to creative cities. This study is therefore also a reaction to the mainly Western world of regular couture, and to ‘creative city materials’ that focus on consumption. Instead, we emphasize the importance of African tailors who de facto shape urban experiences—visually incrementing practices—that are fundamental to the comprehension of sartorial culture, while we also allude to the complex intersections between local and global markets. In the first part of this article we describe a semi-ethnographic study among tailors in Maputo and Lisbon. The second part presents a participatory action approach that entailed developing an educational programme for African tailors where culture and creativity meet. This programme empowered tailors to tap into their cultural knowledge on tailoring and their awareness of community identity. In our study we argue that the idea of creative cities and their creative economy should be approached from a cultural perspective, by building awareness of the importance of local creative classes instead of focusing on importing those classes.     

An industrial relations perspective on the high-performance paradigm

Recent studies have suggested that various human resource management (HRM) practices are associated with enhanced economic performance in organizations. This research has led to what we call the high-performance paradigm, a belief that firms can improve performance by adopting certain high-performance work practices (HPWP). We apply an industrial relations (IR) perspective to the high-performance paradigm to extend the insights of HRM studies. After identifying how the perspective typically adopted in IR research differs from that used by HRM researchers, we briefly review the literature on HPWPs, identify limitations in the existing research approach, and suggest issues and areas for future research. In general, we suggest that research on HPWPs has made a valuable contribution to the literature. We urge HRM researchers, however, to devote more attention to underlying conflicts at work, focus more explicitly on the implications of new forms of work for workers, and pay greater attention to the role that cultural forces, unions, and governments play in shaping the workplace.     

Erratum to ‘Inventory record inaccuracy: Causes and labor effects’

Inventory record inaccuracy (IRI) is a pervasive problem in retailing and causes non-trivial profit loss. In response to retailers’ interest in identifying antecedents and consequences of IRI, we present a study that comprises multiple modeling initiatives. We first develop a dynamic simulation model to compare and contrast impacts of different operational errors in a continuous (Q, R) inventory system through a full-factorial experimental design. While backroom and shelf shrinkage are found to be predominant drivers of IRI, the other three errors related to recording and shelving have negligible impacts on IRI. Next, we empirically assess the relationships between labor availability and IRI using longitudinal data from five stores in a global retail chain. After deriving a robust measure of IRI through Bayesian computation and estimating panel data models, we find strong evidence that full-time labor reduces IRI whereas part-time labor fails to alleviate it. Further, we articulate the reinforcing relationships between labor and IRI by formally assessing the gain of the feedback loop based on our empirical findings and analyzing immediate, intermediate, and long-term impacts of IRI on labor availability. The feedback modeling effort not only integrates findings from simulation and econometric analysis but also structurally explores the impacts of current practices. We conclude by discussing implications of our findings for practitioners and researchers.     

Inventory record inaccuracy: Causes and labor effects

Inventory record inaccuracy (IRI) is a pervasive problem in retailing and causes non-trivial profit loss. In response to retailers’ interest in identifying antecedents and consequences of IRI, we present a study that comprises multiple modeling initiatives. We first develop a dynamic simulation model to compare and contrast impacts of different operational errors in a continuous (Q, R) inventory system through a full-factorial experimental design. While backroom and shelf shrinkage are found to be predominant drivers of IRI, the other three errors related to recording and shelving have negligible impacts on IRI. Next, we empirically assess the relationships between labor availability and IRI using longitudinal data from five stores in a global retail chain. After deriving a robust measure of IRI through Bayesian computation and estimating panel data models, we find strong evidence that full-time labor reduces IRI whereas part-time labor fails to alleviate it. Further, we articulate the reinforcing relationships between labor and IRI by formally assessing the gain of the feedback loop based on our empirical findings and analyzing immediate, intermediate, and long-term impacts of IRI on labor availability. The feedback modeling effort not only integrates findings from simulation and econometric analysis but also structurally explores the impacts of current practices. We conclude by discussing implications of our findings for practitioners and researchers.     

Moving Forward: Developing Theoretical Contributions in Management Studies

How do we, as management researchers, develop novel theoretical contributions and, thereby, potentially break new ground in management studies? To address this question, we review previous methodological work on theorizing and advance a typology of the reasoning processes that underlie theoretical contributions and significant advances in management studies. This typology consists of various types of analogical and counterfactual reasoning, ranging from focused thought experiments aimed at prodding existing theory in the direction of alternative assumptions, constructs, and hypotheses to more expansive efforts for inducing new theoretical models and alternative explanations. Applying this typology, we detail the mechanisms behind the formation of novel theoretical contributions and illustrate the currency of our typology through a review of 24 major theoretical breakthroughs in management studies. We conclude the paper by discussing the implications of this typology for our collective efforts in building, elaborating, and expanding theory in management studies.     

Community-based research: Engaging universities in technology-related knowledge exchanges

Many universities are disengaged from their local regions. While universities are hotbeds of knowledge with the potential to generate new and disruptive technologies, their development strategies and public relations engagements rarely emphasize the potential of universities to act as local and regional economic engines. Similarly, information systems (IS) and other scholars generally aim to make international, not local impacts. Local contributions are often viewed as distractions from more visible and highly rewarded roles in the global scholarly community, such as publishing in international journals. This Global Challenge article argues that universities' local ecosystems are appropriate targets for IS scholarly activity, particularly when this is undertaken in the form of community-based research (CBR). Following conceptual discussions of ‘community’ and key elements of CBR, we draw on the authors' personal research experiences to evaluate the potential contributions of IS scholars in terms of CBR projects focused on technology-related knowledge exchange. After outlining implications and potential future directions for IS researchers, we close by presenting a call to IS scholars to intensify their local ecosystem research collaborations in technology-related knowledge exchanges contexts, in order to increase the relevance and local impact of their research.     

Internet-of-things enabled supply chain planning and coordination with big data services: Certain theoretic implications

Recent advances in information technology have led to profound changes in global manufacturing. This study focuses on the theoretical and practical challenges and opportunities arising from the Internet of Things (IoT) as it enables new ways of supply-chain operations partially based on big-data analytics and changes in the nature of industries. We intend to reveal the acting principle of the IoT and its implications for big-data analytics on the supply chain operational performance, particularly with regard to dynamics of operational coordination and optimization for supply chains by leveraging big data obtained from smart connected products (SCPs), and the governance mechanism of big-data sharing. Building on literature closely related to our focal topic, we analyze and deduce the substantial influence of disruptive technologies and emerging business models including the IoT, big data analytics and SCPs on many aspects of supply chains, such as consumers value judgment, products development, resources allocation, operations optimization, revenue management and network governance. Furthermore, we propose several research directions and corresponding research schemes in the new situations. This study aims to promote future researches in the field of big data-driven supply chain management with the IoT, help firms improve data-driven operational decisions, and provide government a reference to advance and regulate the development of the IoT and big data industry.     

Integrating development and operations teams: A control approach for DevOps

Information systems (IS) literature has predominantly studied IS project control with a focus on software development projects. However, by virtue of digital transformation, an increasing number of organizations are implementing cross-functional teams, combining software development with software operations tasks. The goal is to react quickly to the ever-changing market requirements.The DevOps concept aims to effectively orchestrate development and operations activities and smoothly manage tensions within teams, resulting from the heterogeneous composition of skills, responsibilities, and working styles.In contrast to the predominant project management view of control of prior research, which focuses on software development, this study investigates a different perspective: focusing on exerting control in DevOps teams and simultaneously navigating tensions between software development and operations. Utilizing an inductive theory-building approach, we first identify the four tensions discussed in prior literature—namely, goal conflict, method discomfort, decision rights, and time rhythm—and then empirically derive corresponding resolutions.Integrating our findings, we present an empirically derived model that can serve as a DevOps control approach for navigating the tensions between development and operations teams. This model extends our theoretical knowledge about control in DevOps teams and serves to inform IT practitioners, helping them successfully implement and manage DevOps teams.     

A review of current construct measurement in entrepreneurship

Construct measurement practices lay at the foundation of empirical research. They are central considerations for entrepreneurship researchers and for consumers of entrepreneurship-related research findings. Yet, little is known about the extent to which entrepreneurship researchers currently take into account these considerations. In this study, we assess the current state of measurement practices in entrepreneurship by content analyzing recent empirical research published in several leading journals. Our findings indicate that, in general, extant research relies far too heavily on measures that do not allow for the assessment of reliability. We offer important implications and provide ways to help surmount these challenges.     

On becoming a sociomaterial researcher: Exploring epistemological practices grounded in a relational,performative ontology

What is the role of the researcher in a world that is continuously enacted and reconfigured in sociomaterial practices, a world in which subject and object, structure and agency, body and mind, knower and known, are assumed to be ontologically inseparable? In this article, I explore this question by drawing on my own experiences of reconsidering essentialist and representationalist assumptions, and becoming a sociomaterial researcher. My exploration draws on my experiences of conducting a qualitative longitudinal case study at the Swedish Migration Board. Specifically, I show what it can mean to ‘invite materiality’ into interviews, examine the conditions of possibility to become in certain ways by tracing the genealogy of practices, and engage with data relationally rather than categorically. By accounting for my experience of working through these practices, I aim to develop and articulate an understanding of what the ontological position underlying a sociomaterial approach implies for epistemology, and of how we can act (or, rather, intra-act) more creatively and responsibly as sociomaterial researchers. Moreover, I highlight differences in the kinds of knowledge that a sociomaterial approach grounded in relational and performative onto-epistemologies, as opposed to a socio-material approach, grounded in critical realism, produce about the unfolding of organizational practices—specifically, the practices unfolding in the reception area of the Swedish Migration Board. The paper contributes to the current debate on sociomaterial approaches, and in particular to the development of practices available to draw upon for researchers taking a sociomaterial approach.     

The contours of employee voice in SMEs: the importance of context

This article develops a context‐sensitive approach to analyse how and why voice operates in small‐ to medium‐sized enterprises (SMEs), an area that remains under‐theorised and under‐researched. By building on a priori frameworks with proven ability to unpack complexity and take account of the wider context of SMEs, this article explores how resources (human and social capital) and constraints (product market, labour market and strategic orientation) interact to shape voice practices. The article finds significant differences between ‘reported’ compared with ‘actual’ practices in situ, and identifies different types of firms (‘strategic market regulation’, ‘strategic market‐led’ and ‘non‐strategic market‐led’) along with the factors that influence the form and practice of voice. Overall, the article argues that researchers should further pursue research that appreciates the layered nature of ontology and the role played by firm context to explain complex organisational phenomena, if we are to advance our understanding of voice practices in SMEs and beyond.     

Sociomateriality at the royal court of IS: A jester's monologue

The notion of ‘sociomateriality’ has recently gained in popularity among information systems (IS) scholars in their search for providing new ways of investigating and theorizing about IS in organizations and society at large. While some scholars put forward arguments and research accounts that lead to new insights concerning the concept, others expose a cursory treatment and partial appreciation of the idea. In addition, sociomateriality as a new worldview has been criticized for introducing yet more academic jargon monoxide. Although existing research and debates show some potential for progressing the theorizing of ‘man–machine’ reconfigurations, we point to the necessity of a deeper exploration of the term. Inspired by the Alternative Genres Track at the European Conference on Information Systems 2012, the purpose here is to take a fresh look, to evoke new insights and to gain deeper understanding of the notion of sociomateriality and its use in the IS discipline. We invite the reader to attend a prolonged monologue – characterized by honesty, frank observations and wit – at the royal court of IS. The monologue is delivered by the court jester and directed to the two sovereigns who, based on their conceptual contributions, have played a decisive role in the spreading of the idea of sociomateriality in IS. The intention is to contribute with a stimulating debate about sociomateriality that builds on open-minded questions in the pursuit of key reflections to inform our research discipline. Throughout the monologue, the jester uncovers some contradictions and limitations in and between the sovereigns' writings and points to some possible resolutions.     

Felt quality of sociomaterial relations: Introducing emotions into sociomaterial theorizing

Sociomateriality, in helping to overcome the longstanding dualism between the social and the technical, has become an increasingly popular theoretical perspective in Information Systems (IS) research. However, while recognizing the usefulness of sociomaterial theorizing, we contend that it also inadvertently perpetuates other kinds of dualisms—particularly that of objectivism–subjectivism and cognition–emotion. We argue that sociomateriality's current inability to express what it feels like to be a human agent, and the inadvertent perpetuation of the cognitive–emotional dualism, is problematic in terms of the limited practical insights these perspectives generate. To address this limitation, we propose and illustrate two different approaches for including emotions in sociomaterial theorizing. By proposing two approaches for the inclusion of emotions into applications of sociomateriality in IS research (one founded on critical realism, and the other on agential realism), we provide researchers with the conceptual tools to generate richer practical and theoretical insights.     

Inductive reasoning: The promise of big data

Theory is a cornerstone of organizational research. Recently, however, some organizational scientists have argued that there is an overemphasis on theory development in our prominent publication outlets, calling for a rejuvenation of empirically driven research. To bring empirical research back to the forefront, the organizational sciences need a shock to the system: the advent of big data analytics in organizations provides just such a shock. The purpose of the following paper is to advocate for big data analytics as tools that can be used to support inductive research methods in the organizational sciences. We then highlight areas of organizational research and practice in which big data analytics can have an impact, provide readers with a tempered perspective on big data in the organizational sciences, and suggest a number of ways that researchers, reviewers, and editors can prepare themselves for the introduction of big data research in the organizational sciences.     

A replication and extension of quality management into the supply chain

As competition moves beyond a single firm into the supply chain, researchers are beginning to explore quality management (QM) in a supply chain context. The literature suggests that supply chain management (SCM) consists of internal practices, which are contained within a firm, and external practices, which cross organizational boundaries integrating a firm with its customers and suppliers. Supplier quality management and customer focus are two QM practices that are also clearly in the domain of SCM. In this study we investigate how these two supply chain management-related quality practices lead to improved performance and examine the practices that precede and mediate those relationships. In doing so, we replicate and extend the relationships among the QM practices and their effects on firm performance suggested in Kaynak [Kaynak, H., 2003. The relationship between total quality management practices and their effects on firm performance. Journal of Operations Management 21, 405–435] using survey data gathered from firms operating in the U.S. The inclusion of customer focus and supplier quality management in the QM model supports the importance of internal and external integration for quality performance. Implications of the results for researchers and practitioners are discussed, and further research implications are suggested.