Relationships among JIT practices: an interpretive modeling approach

Abstract

This research develops a model of relationships among components of Total-JIT, including JIT-information, JIT-manufacturing, JIT-purchasing, and JIT-selling, to establish an implementation hierarchy based on relative importance. The data collected relates to the relationships among JIT components and two performance measures, supply chain competency and organizational performance. Two groups are used in the research, one group of five operations management academics and another group of 30 practicing operations managers working in U.S. manufacturing firms. An interpretive structural modelling methodology is used to develop alternative structural models. The academics’ data show JIT-information emerging as lynchpin of relationships, directly impacting all other JIT practices and both performance measures. The practitioners’ data indicates that all JIT practices and performance measures are interactive as components and outcomes. This study is the first to apply interpretive structural modelling to investigate the interplay among total-JIT components and the performance measures of supply chain competency and organizational performance.     

Contextualist-retroductive case study design for strategic asset management research

Abstract

This paper develops a tailored case study design for strategic asset management research. It draws on the notions of ‘contextualist approach’ and ‘retroductive strategy’ used in case study research, and follows the multiple embedded-case design advocated within qualitative research. Using a published asset management research study as a primer, it demonstrates the application of the proposed research design and its methodological rigour. This research design could serve as a reference framework, as well as a research instrument, for guiding asset management research. As such, it facilitates the development of theory that accounts for the multi-faceted nature and current priorities of asset management. Overall, this research design helps determine what activities to be incorporated into an asset management program to enhance an organization’s ability to capture value from its operations system. In so doing, it promotes a holistic perspective on asset management that is currently lacking in the literature.     

Action Research: Exploring Perspectives on a Philosophy of Practical Knowing

In the context of management and organization studies, the potential of action research for generating robust actionable knowledge has not been yet realized. While there are historical reasons for this with roots in different philosophies of social science, there are areas of common ground that may be explored fruitfully. This paper works from the insight that there are two key perspectives on action research: one from inside the action research community and one from outside. It explores how action research is a form of science in the realm of practical knowing and that this perspective provides an insight into how the views of action research from inside and from outside may be engaged. It proposes a general empirical method and the notion of interiority, based on the operations of human knowing, with a focus on how we know, rather than on what we know, as a synthesis, whereby the two perspectives on action research may be engaged.     

On the versatility of Little’s Law in operations management: a review and classification using vignettes

Abstract

Despite Little’s Law being considered as one of the ‘laws’ of operations management, evidence of its application in an empirical context is diverse and diffuse. Hence, this paper aims to identify, classify and consolidate published empirical applications of Little’s Law in a systematic manner to better understand its versatility. This paper undertakes a systematic literature review of the databases of the five main publishers of operations management journals and snowball sampling for additional papers. A final sample of 128 empirical journal articles is identified and categorized. Tactical, medium-term decisions relating to capacity dynamics and operations re-engineering are the most popular categories. To give further insights into versatility, vignettes for each category are developed. The review and vignettes confirm Little’s Law as a highly relevant paradigm to operations management decisions due to its empirical versatility across levels, sectors and time domains. The paper suggests four factors to underline the empirical versatility of Little’s Law in operations management: applicability, utility, simplicity and visibility.     

How Does Performance Management Affect Workers? Beyond Human Resource Management and Its Critique

While performance management (PM) is pervasive across contemporary workplaces, extant research into how performance management affects workers is often indirect or scattered across disciplinary silos. This paper reviews and synthesizes this research, identifies key gaps and explores ‘recognition theory’ as a nascent framework that can further develop this important body of knowledge. The paper develops in three main stages. The first stage reviews ‘mainstream’ human resource management (HRM) research. While this research analyses workers’ reactions to performance management in some depth, its focus on serving organizational goals marginalizes extra‐organizational impacts. The second stage reviews more critical HRM research, which interprets performance management as a disciplinary, coercive or inequitable management device. While this literature adds an important focus on organizational power, there is scope to analyse further how PM affects workers’ well‐being. To develop this strand of PM research, the third stage turns to the emerging field of recognition theory independently developed by Axel Honneth and Christophe Dejours. The authors focus especially on recognition theory's exploration of how (in)adequate acknowledgement of workers’ contributions can significantly affect their well‐being at the level of self‐conception. Although recognition theory is inherently critical, the paper argues that it can advance both mainstream and critical performance management research, and also inform broader inquiry into recognition and identity at work.     

Identifying design criteria for urban system ‘last-mile’ solutions – a multi-stakeholder perspective

Abstract

This study presents a novel approach to design and evaluate ‘last-mile’ solutions – encompassing the social and economic perspectives of key stakeholders. While urban system initiatives have been implemented in practice, theoretical gaps remain at the operational design level. A theoretical framework is developed, based on design criteria identified from a critical synthesis of supply chain and operations management literature, and ‘operationalised’ using an in-depth case study demonstrating implementation of a Consumer Choice Portal-Package Consolidation Centre solution, within a densely populated urban geography. Findings suggest that there is a need to re-define the role of institutional actors beyond that of the traditional governance task, to one of being able to facilitate performance outcomes. Similarly, industrial efficiency dimensions need to be reorientated to include consumer participation, social considerations and multi-stakeholder service outcomes. Finally, implications for operations theory and practising managers in city logistics are highlighted, with suggested directions for future research.     

System Dynamics as a Structural Theory in Operations Management

The purpose of the paper is to demonstrate the usefulness of (1) system dynamics as a structural theory for operations management and (2) system dynamics models as content theories in operations management. The key findings are that, although feedback loops, accumulation processes, and delays exist and are widespread in operations management, often these phenomena are ignored completely or not considered appropriately. Hence, it is reasoned why system dynamics is well suited as an approach for many operations management studies, and it is shown how system dynamics theory can be used to explain, analyze, and understand such phenomena in operations management. The discussion is based on a literature review and on conceptual considerations, with examples of operations management studies based on system dynamics. Implications of using this theory include the necessary re‐framing of some operations management issues and the extension of empirical studies by dynamic modeling and simulation. The value of the paper lies in the conceptualization of the link between system dynamics and operations management, which is discussed on the level of theory.     

Knowledge management in SMEs and MNCs: matching knowledge mobility mechanisms to supply network configuration profiles

Abstract

While ‘knowledge mobility’ presents significantly different challenges for SMEs and MNCs, it is strongly influenced by two common factors: the type of knowledge to be integrated and the configuration of the operations network. Here, SMEs and MNCs are required to make critical decisions about ‘levels’ of collaboration and knowledge sharing with network partners. A Knowledge Mobility Configuration (KMC) framework was developed, tested and refined using five case studies indicative of a growing shift towards information and knowledge-intensive activities. In terms of contribution, there has been limited empirical research to-date into the determinants of successful knowledge transfers in MNC-SME network contexts. The network configuration element of the KMC framework provides insights on how such networks evolve, and how specific knowledge mobility profiles may evolve over time. This more nuanced approach may be used as a basis for a proactive and differentiated approach to knowledge mobility and integration across SME and MNC networks.     

Learning in and from projects: the learning modes and a learning capability model

Abstract

The notion of ‘project delivery’ is well embedded in and across the management and organizational sciences literature – generating a narrative that reflects and recognizes the instrumental nature of projects and programmes in strategy execution. Project management, as a distinct and well-established body of research enquiry, has increasingly sought to focus our attention on the impacts of complexity, risk and uncertainty in projects; the corollary being a desideratum to strengthen our theoretical understanding of how insight and learning from projects may influence improvements to organizational efficiency. The wider literature suggests that organizational learning remains a challenging proposition, particularly in the context of organizations operating in environments of high complexity. In this paper, we enhance the conversation on organizational learning through a series of case studies, generating evidence of thirteen ‘learning modes’. The paper proposes that mature organizations tend to exhibit a greater number of learning modes and that there is a tendency to capture and socialize knowledge with a greater emphasis on the context of the learning situation rather than the learning artefact in isolation. The empirical evidence gathered in this paper forms the basis of a capability model, characterized by the thirteen modes of learning. The model intimates that learning occurs, and is more effective, when knowledge and information are enacted in practice through the learning modes which form a nucleus of the organizational learning capability. The research concludes with a 'call to action' that emphasizes the strategic importance of learning practices and routines in project oriented-organizations.     

Knowledge management for sustainability in operations

Abstract

The purpose of this paper is to examine the effect of Knowledge Management (KM) as a platform to enable sustainability in firms’ operations and to provide recommendations for managers to integrate sustainable operations into their business strategies. The urgency to create and implement sustainable operations is also argued. The conceptual framework is based on the hypothesis that KM contributes to the achievement of more suitable operations. To test this hypothesis, a model of structural equations was developed with data collected from 345 SMEs. Empirical evidence supported the hypothesis, indicating that KM represents an important alternative to implementing sustainability. The results suggest that managers need to implent KM, as they will enable a better understanding and awareness regarding the global dangerous impacts from unsustainable operations mainly focused on sales and cost reduction. For this reason, this research provides evidence that KM offers an alternative impulse on the quest for more sustainable operations.     

Effect of best management practices on the performance and productivity of small firms

Abstract

Recent research on productivity finds that best management practices are a crucial but neglected element in explaining firm productivity. This stream of research also focuses on why a large number of firms may not implement best management practices despite their apparent benefits. In this paper, we examine the adoption of best management practices in small leveraged buyout (LBO) firms. Our choice of small LBO is motivated by the fact that these firms undergo extensive restructuring and, therefore, there is an opportunity to study the adoption process of best management practices. The findings show that buyout companies introduce best management practices (operations, monitoring, targets and incentive-related practices) at different stages of their development, and more importantly, these practices evolve in response to changes in various firm-level characteristics. For example, companies emphasizing cost leadership tend to follow targets and monitoring related practices while firms following a differentiation strategy are more likely to implement incentives and operations related management practices. Buyout sponsors’ board representatives and new CEO also play a critical role in the adoption of these best management practices which are linked to superior firm performance, measured as growth in revenues, productivity and return on assets.     

How smart cities transform operations models: a new research agenda for operations management in the digital economy

Abstract

The notion of smart cities is growing in prominence in the digital economy. The integration of urban infrastructures with information and communication technologies enables the development of new operations models. Digitised infrastructures offer opportunities for public and private organisations to design and deliver more customer-centric products or services, particularly for those that require geographical proximity with consumers in the online to offline (O2O) context. A framework is developed and used to analyse three case examples. These cases illustrate the emergence of new operations models and, demonstrate how smart cities are redefining the characteristics of operations models around their scalability, analytical output and connectivity. We also explore the feasibility, vulnerability and acceptability of each new operation. This paper contributes to our understanding of how smart cities can potentially transform operational models, and sets out a research agenda for operations management in smart cities in the digital economy.     

Gauging the unique developmental strategies towards human resource at Saudi Aramco

Saudi Aramco’s unrivalled upstream oil operations over the years would not have been possible without an unparalleled commitment towards the development of people. The human resource department of Saudi Aramco was successful in creating a healthy and productive environment by shifting the focus from ‘administration’ to being a ‘strategic partner’. The purpose of this paper is to identify and illuminate the human resource developmental strategies that are aligned with core business practices leading to exceptional performance at Saudi Aramco. As an academician, the author believes that this paper will provide an insight into gauging human resource development strategies for any aspiring firm and can be referred for further research.     

The implementation of digital technologies for operations management: a case study for manufacturing apps

Abstract

Manufacturing applications address business to business (B2B) with highly customised applications developed for specific requirements, offering highly specialised solution-oriented and service-based software components, systems, and digital tools that aim at a fast and accurate decision-making support system. The purpose of this paper is to describe the implementation of digital technologies for operations management using manufacturing or engineering apps (eApps), for product design and manufacturing processes. In particular, starting from the specific needs of two companies from mature European industries as automotive and food, this work depicts how this kind of solutions can support companies and improve their operations. In particular, related benefits and challenges faced for the full implementation of the developed tools are highlighted. Moreover a business model to exploit the manufacturing apps is also proposed. The business model proposed for the exploitation of the eApps supports the commercialisation of all the revenue streams offered by this rapidly growing sector taking into account the specific needs of the concerned stakeholders through a diversified value proposition.     

Developing management capability within a horizontal supply chain in performance measurement deployment and evolution: a Dynamic Capabilities and Goal Theory perspective

Abstract

Complex collaboration in rapidly changing business environments create challenges for management capability in Utility Horizontal Supply Chains (UHSCs) involving the deploying and evolving of performance measures. The aim of the study is twofold. First, there is a need to explore how management capability can be developed and used to deploy and evolve Performance Measurement (PM), both across a UHSC and within its constituent organisations, drawing upon a theoretical nexus of Dynamic Capability (DC) theory and complementary Goal Theory. Second, to make a contribution to knowledge by empirically building theory using these constructs to show the management motivations and behaviours within PM-based DCs. The methodology uses an interpretive theory building, multiple case-based approach (n = 3) as part of a USHC. The data collection methods include, interviews (n = 54), focus groups (n = 10), document analysis and participant observation (reflective learning logs) over a five-year period giving longitudinal data. The empirical findings lead to the development of a conceptual framework showing that management capabilities in driving PM deployment and evolution can be represented as multilevel renewal and incremental Dynamic Capabilities, which can be further understood in terms of motivation and behaviour by Goal-Theoretic constructs. In addition, three interrelated cross-cutting themes of management capabilities in consensus building, goal setting and resource change were identified. These management capabilities require carefully planned development and nurturing within the UHSC.     

Does customer or competitor performance drive operations prioritisation?

The purpose of this research is to identify the impact on operations managers of their perceptions of customer requirements and competitor performance on their determination of operations priorities. Data were obtained from a multiple respondent survey. Analysis involved an ordered choice model. The process of strategic prioritisation differs according to the specific performance dimension. Quality-based objectives are focused on the voice of the customer; cost-based objectives are influenced by a balance of importance to customer and performance against competitor. Other criteria (flexibility, dependability, speed) objectives are more influenced by perceptions of competitive benchmarking. This large sample survey of operations managers’ perceptions offers a valuable insight into their motivation for focusing on different operations criteria.     

Editorial for special issue on: humanitarian operations management

Abstract

Over the past decades, there has been increasing interest in studying humanitarian operations management. The mismatch between global humanitarian needs and the resources available, together with chronic vulnerability in many parts of the world, continues to have a direct bearing on the lives of millions of people in need of assistance. It also means that donors have to re-double their efforts to respond to disasters in a more efficient and effective manner. International humanitarian organizations (IHOs) often deal with a mix of disaster response and development programmes simultaneously. This operational mix entails disaster cycle management challenges such as project and programme planning of multi-objective global logistics, balancing earmarked donations for disaster response with budget needs for development programmes, and determining the push-pull boundaries in the supply chain, particularly with the increase in cash transfer programmes. The main purpose of this special issue is to report on research in humanitarian operations management. This special issue attempts to explore and examine the above topical issues at strategic, operational and technical levels.     

INTRODUCING INTERNATIONAL ISSUES INTO OPERATIONS MANAGEMENT CURRICULA

As the world moves toward a global economy, it is increasingly important that operations management courses prepare students to address globalization issues. The purpose of this paper is to contribute to the dialog concerning how international topics are best incorporated into operations management curricula. On the basis of the results of a survey of operations management academicians worldwide, current course offerings are cataloged and topic areas critical to the globalization of operations are identified. Four major reasons for studying international operations management are proposed, which provide the basis for recommendations on how international topics can be introduced into established operations courses and for the design of an elective course in global operations. Finally, teaching materials relevant to international operations are surveyed.     

Modelling the factors that influence the acceptance of digital technologies in e-government services in the UAE: a PLS-SEM Approach

Abstract

The digital technologies such as Internet play a crucial role in the management of operations of organisations in both public and private sectors. Such technologies support the implementation of effective digital business strategies. By reviewing the extant literature, this paper aims to identify factors that influence the intention to use digital technologies in order to develop a theoretical model which is then tested empirically using the PLS-SEM approach. While many studies have focused solely on the importance of social influence, perceived usefulness, perceived ease of use, awareness, perceived trust in technology, perceived trust in government, perceived cost and perceived risk, this article brings them together to explain their linkage, and quantifies the relationship. This study is the first empirical attempt to explore the factors influence e-government services adoption in the UAE. Most specifically, this article emphasises the role of social influence, perceived ease to use and perceived trust in technology as the important determinants of the intention to digital technology adoption. The paper expands the traditional discussion by incorporating six variables in a model that acts as facilitator or barrier in the intention to use digital technologies. This article helps practitioners to understand of which factors should be given emphasis in enhancing the intention to use digital technologies. The model developed in this paper is not only a response to the need to understand what causes the variation in the intention to use digital technologies from the operation management perspective, it is also a response to practitioner needs to use an appropriate construct to ensure the effective operation and use of the digital technologies in e-government services. The paper will help to identify the key issues surrounding the digital technologies adoption that may lead the successful operations of e-government.