Information systems and occupational stress: a theoretical framework

The information systems (IS) profession is a stressful profession. However, there is little theoretical or empirical research on the effects of occupational stress on IS professionals. A major reason is because IS professionals and researchers are unaware of the consequences of occupational stress and unfamiliar with the occupational stress literature. The purpose of this paper is to propose a theoretical framework of occupational stress for IS professionals. Based on a review of the IS, psychology, and general management literature, 12 occupational stress models are identified. These stress models are analyzed along the two dimensions of focus and theoretical foundation. The analysis shows that most of the occupational stress models consider stress to be the consequence of the interaction between an environmental stimulus and the idiosyncratic response of the individual. Further analysis of these models suggests that nine key points are critical in developing a theoretical framework of occupational stress for IS professionals. A mapping of how the existing stress models incorporate the nine key points is also presented. The findings of this paper can provide a theoretical basis for further research on the occupational stress of IS professionals. Finally, an agenda for further research into this issue is presented.     

A process model of establishing knowledge management: Insights from a longitudinal field study

This paper contributes to the discussion on how to manage knowledge in organizations. Taking a perspective which acknowledges the importance of, but does not privilege, IT as the decisive element, it reports the results of a study investigating the process of establishing as opposed to conducting knowledge management. Based on a grounded theory approach to the analysis of the empirical data, a model of establishing knowledge management in organizations is developed. The model emphasizes how the organizational members make sense of the action and behavior of management, and how this understanding influences their own perceptions and actions in the process of establishing knowledge management. This leads to an understanding of knowledge management as an autonomous venturing process. The model is then used to suggest an explanation of why establishing knowledge management was not successful in the case which was investigated. Conclusions are provided on how the model can be further exploited for studying and improving the practice of knowledge management.     

End-to-end process management: implications for theory and practice

The term ‘end-to-end’ process management is now commonplace in the language and practice of operations. Managers are encouraged to migrate from functional process management to end-to-end process management to realise a range of performance improvements. However, these improvements are often elusive; the specific challenges associated with such a migration are under-researched. This paper uses a cross-sector study to identify the challenges of end-to-end process management and to generate practical managerial guidance. Three areas are identified that demand particular managerial attention: the need to move beyond process mapping, the role of IT in process management and maintaining the process infrastructure as a strategic asset. More significantly, the findings highlight the need for greater conceptual clarity regarding the end-to-end concept itself. The existing literature suggests that scope is the primary differentiator of the end-to-end process – the requirement to manage an extended boundary from customer order through to customer fulfilment. However, this research suggests that the end-to-end concept is more complex, comprising of three core constructs with seven dimensions: scope (boundary conditions, sequence/flow and controls); scale (resources and input/output transformation) and complexity (interrelationships and orientation). End-to-end process management involves much more than an extended boundary. It requires a systemic perspective and clarity regarding controls and transforming resources.     

An integrated framework of mimetic pressures,quality and environmental management,and firm performances

Abstract

Manufacturers have extensively recognised the strategic importance of quality and environmental management. However, there is little guidance on how they adopt and exercise both management practices in a way that enhances firms’ performance outcomes. To fill the research gap, this paper empirically investigates the relationships among mimetic pressures, a firm’s quality management practices (QMPs), environmental management system (EMS), and environmental and financial performances. By using a data set collected from 212?U.S. manufacturing firms, this study examines the proposed hypotheses. Our major findings are: first, mimetic pressures are a driving factor for EMS but do not motivate the adoption of QMPs; second, QMPs are an important enabler not only for enhancing firms’ financial performance but also for promoting EMS and environmental performance; and finally, EMS does not influence firms’ financial performance directly, but indirectly does so through enhancing environmental performance. This study contributes to the literature of quality and environmental management and provides practical implications by addressing motivating factors of both QMPs and EMS, and identifying factors for successful environmental management practices.     

Risk filtering, ranking, and management framework using hierarchical holographic modeling.

This paper contributes a methodological framework to identify, prioritize, assess, and manage risk scenarios of a large-scale system. Qualitative screening of scenarios and classes of scenarios is appropriate initially, while quantitative assessments may be applied once the set of all scenarios (hundreds) has been prioritized in several phases. The eight-phase methodology is described in detail and is applied to operations other than war. The eight phases are as follows: Phase I, Scenario Identification-A hierarchical holographic model (HHM) is developed to describe the system's "as planned" or "success" scenario. Phase II, Scenario Filtering-The risk scenarios identified in Phase I are filtered according to the responsibilities and interests of the current system user. Phase III, Bi-Criteria Filtering and Ranking. Phase IV, Multi-Criteria Evaluation. Phase V, Quantitative Ranking-We continue to filter and rank scenarios based on quantitative and qualitative matrix scales of likelihood and consequence; and ordinal response to system resiliency, robustness, redundancy. Phase VI, Risk Management is performed, involving identification of management options for dealing with the filtered scenarios, and estimating the cost, performance benefits, and risk reduction of each. Phase VII, Safeguarding Against Missing Critical Items--We examine the performance of the options selected in Phase VI against the scenarios previously filtered out during Phases II to V. Phase VIII, Operational Feedback-We use the experience and information gained during application to refine the scenario filtering and decision processes in earlier phases. These eight phases reflect a philosophical approach rather than a mechanical methodology. In this philosophy, the filtering and ranking of discrete scenarios is viewed as a precursor to, rather than a substitute for, consideration of the totality of all risk scenarios.     

Fleet and revenue management in car rental companies: A literature review and an integrated conceptual framework

This paper aims to present, define and structure the car rental fleet management problem, which includes operational fleet management issues and problems traditionally studied under the revenue management framework. The car rental business has challenging and distinctive characteristics, which are mainly related with fleet and decision-making flexibility, and that render this problem relevant for academic research and practical applications. Three main contributions are presented: an in-depth literature review and discussion on car rental fleet and revenue management issues, a novel integrating conceptual framework for this problem, and the identification of research directions for the future development of the field.     

Situational production management: a practical theory for the development and application of production management

Discussions in journals and at conferences often nurture the dream of the ultimate method which may be applied successfully to all situations. Yet everybody knows that ‘it all depends’ and that situational factors determine which methods and systems are appropriate. This paper sets forth to outline a practical theory of a situational approach to production management. Any improvement of production management is seen as a dialogue between identification of the production management task, on the one hand, and specifying a solution system, on the other. A few concepts are introduced to provide practical methods for carrying out an improvement process; in particular, the nature of the production management task is addressed. The implications of the situational theory to be presented are discussed for three levels of application, respectively, the general level, the industry level, and the level of an individual industrial enterprise. It is further argued that the three levels are interdependent and that their joint application may stimulate both the theoretical and practical development of production management.     

Managing lean capabilities through flexible workforce development: a process and framework

Many firms today are employing temporary contractual workers in order to help them to stay lean and flexible. The benefit of this approach is that the process of layoff is much easier. Thus, an emerging issue arises here, on how can firms manage and train temporary workers effectively? The core of lean adoption is through people, to have workers buy into the ideas and be part of the overall initiative. There is very little guidance available on how to deal with contractual workers who have less motivation and commitment to the firm given that they are only employed on a temporary basis. This article proposes a framework and process to assist firms in managing and training temporary workers to improve the efficiency and effectiveness of the implementation of lean improvement initiatives.     

Risk management in plant investment decisions: risk typology,dimensions and process

Abstract

Managing risk associated with plant location decisions is a growing concern as companies seek to reassure investors about the robustness of their strategies. However, little attention has been paid to the systematic evaluation of risk associated with new plants. This paper investigates risk management practices in plant investment decisions through detailed case investigations in a cross section of industrial businesses at different levels of maturity in order to observe current practices, identify common principles and to synthesis systematic approaches to risk management. It identifies key risk categories and dimensions of risk management, building on three key bodies of literature – global manufacturing, investment and risk management     

Risk management and managerial efficiency in Chinese banks: A network DEA framework

Risk management in Chinese banks has traditionally been the Cinderella of its internal functions. Political stricture and developmental imperative have often overridden standard practice of risk management resulting in large non-performing loan (NPL) ratios. The training and practice of risk managers remain second class compared with foreign banks operating in China. This paper surveys Chinese bank risk managers and constructs metrics of risk management practice and risk management organisation. The metrics are used as intermediate inputs in a Network DEA framework to produce a measure of income efficiency. A statistical test is carried out to assess the importance of the risk metrics in evaluating bank income efficiency.     

Antecedents and consequences of diversity and equality management systems: The importance of gender diversity in the TMT and lower to middle management

Strategic human resource management theory suggests that diversity and equality management (DEM) systems provide a firm with a competitive advantage, leading to superior performance. This study proposes and tests a moderated mediation model focusing on antecedents (i.e. top management team gender diversity) and consequences (i.e. performance) of DEM systems in the context of lower through middle management (LTMM) gender diversity. The model was tested in 248 medium-to large-sized organizations using time-lagged survey and archival data. The findings provide full support for the hypothesis that a gender-diverse top management team is positively associated with DEM systems. The results provide partial support for the following hypotheses: DEM systems are positively associated with performance and this relationship is moderated by LTMM gender diversity; and DEM systems mediate the relationship between TMT gender diversity and performance. We discuss theoretical, research and practical implications.     

SCOPE framework for SMEs: A new theoretical lens for success and internationalization

The purpose of this paper is to propose a new framework: SCOPE - to postulate strategies for Small and Medium Enterprises (SMEs) to export, compete, and succeed in the global market. SCOPE stands for Strategies to analyze the Challenges, Opportunities, and Problems to succeed in Exporting. A multiple case study method was employed based on semi-structured interviews with senior managers of different SMEs from three European countries. It was found that SMEs face internal and external challenges. This is complemented by a Pentagon model. This framework could be employed as a theoretical lens to critically examine the antecedents and outcome of SME internationalization.     

Purchasing performance management systems: an empirical investigation

This article aims at further developing the purchasing performance management systems (PPMSs) body of knowledge, assuming the wider perspective of the adoption process rather than key performance indicators (KPIs) only. In particular, the research questions are focused on understanding what are the most adopted indicators, what are the key elements characterising the implementation process and what are the differences among different organisational levels and different purchasing categories. The literature provides a framework for classifying purchasing KPIs, identifying the implementation process and the PPMS architecture, thus supporting the empirical research protocol. Nine case studies of large multinationals belonging to different industries are conducted. Empirical evidence shows that companies are still adopting mainly an external perspective, by focusing on performance measurement efforts on suppliers. Widely adopted indicators mainly measure cost, time and quality. However, the purchasing department has acquired an important role within the organisation and new performance indicators have been created; flexibility, innovation and sustainability are becoming increasingly important.     

System Dynamics Understanding in Projects: Information Sharing,Psychological Safety,and Performance Effects

Systems thinking has proven useful in project management planning activities and has been suggested as a critical driver of a range of beneficial organizational behaviors. Yet, empirical evidence on the myriad of ways in which systems thinking can impact internal project dynamics and performance remains limited. This study focuses on one aspect of systems thinking in particular: the ability to recognize and understand the dynamics of systems and their features (e.g., feedback and delay). It makes use of a unique, large‐scale interview data set along with objective and structured survey data drawn from multiple sources associated with supply chain system implementation projects. Analysis suggests that an individual's understanding of system dynamics as well as the similarity of such understanding to that typical of their team is, in fact, a strong predictor of both perceptions of psychological safety and information sharing quality in project work. These outcomes appear to mediate the relationship between system dynamics understanding and performance.     

A critical review of lean supply chain management frameworks: proposed framework

Lean supply chain management (LSCM) is one of the emergent fields of research. The present study objective is to perform review on existing LSCM frameworks and proposes a new LSCM framework. The study collected 30 LSCM frameworks with the help of extensive literature survey. The sample of LSCM frameworks have been classified based on novelty of the framework, contribution of various researchers to develop LSCM framework, verification status and modes of verification methodology used by the researchers, and also the degree of standardisation of LSCM elements. The study found that many researchers have proposed novel frameworks, lack of participation of practitioners and to some extent consultants in the field of LSCM framework development. It was also found that a huge number of incoherent elements were used to propose the LSCM frameworks. The study findings will give direction to the future researchers to propose a unified LSCM framework that will help to find out the coherent set of elements in the field of LSCM frameworks. Finally, the study proposes a comprehensive LSCM framework with the help of standard elements in the field of LSCM.     

A framework for supporting health capability-based planning: Identifying and structuring health capabilities

The COVID-19 pandemic has highlighted that health security systems must be redesigned, in a way that they are better prepared and ready to cope with multiple and diverse health threats, from predictable and well-known epidemics to unexpected and challenging pandemics. A powerful way of accomplishing this goal is to focus the planning on health capabilities. This focus may enhance the ability to respond to and recover from health threats and emergencies, while helping to identify the level of resources required to maintain and build up those capabilities that are critical in ensuring the preparedness of health security systems. However, current attempts for defining and organizing health capabilities have some important limitations. First, such attempts were not designed to consider diverse scenarios and multiple health threats. Second, they provide a limited representation of capabilities and lack a systemic perspective. Third, they struggle to identify capability and resource gaps. In this article, we thus propose a new framework for identifying and structuring health capabilities and support health capability planning. The suggested framework has three main potential benefits. First, the framework may help policymakers in planning under high levels of uncertainty, by considering multiple realistic and stressful scenarios. Second, it can provide risk analysts with a more comprehensive representation of health capabilities and their complex relationships. Third, it can support planners in identifying resource and capability gaps. We illustrate the use of the framework in practice considering an outbreak scenario caused by three different health threats (COVID-19, Ebola, and Influenza viruses).     

Scrutinising the interplay between governance and resilience in supply chain management: A systems thinking framework

Supply chain disruptions recurrently challenge end-to-end operations owing to the ambiguous understanding of the role of governance in impacting supply network resilience. This paper scrutinises the relevant literature to understand the plethora of interpretations in supply chain governance and resilience while further providing a new perspective on the representation of the interplay between governance and resilience in supply chains. In this regard, the Systems Thinking lens is adopted to pull together the typologies and constructs of supply chain governance and resilience from the literature. Methodologically, System Dynamics modelling principles are leveraged to capture the underpinning structural interdependencies in a causal loop diagram. The study reveals that endogenous and exogenous supply chain governance processes and mechanisms support the intrinsic and extrinsic resilience in networks. Overall, this research contributes to the supply chain risk management domain by synthesising the interplay between governance and resilience, identifying pertinent typologies, and articulating research propositions that can inform decision-making at policy and management levels.     

Contemporary performance measurement and management (PMM) in digital economies

The rate of change in the world is increasing both in scope and magnitude by rapidly developing digital technologies. The challenging problem for performance measurement and management (PMM) in the digital era is twofold: firstly, the constant change in the external environment is compelling PMM to be more dynamic. Secondly, organisations have to deal with different varieties and volumes of data to create competitive advantage. The aim of this paper is to explore how PMM models and practices should be renovated to be resilient and reflect advances in the digital economies. Literature review on the state of the art was conducted covering the issues faced by organisations in the digital economies and their relevance to PMM. A case study was conducted to explore the practitioner perceptions of dealing with the issues faced in digital economies as well as to understand how they are making changes to their PMM. The key findings from the study include: (1) Organisations should refocus their measurement efforts to incorporate evaluation of their performance over a wider network involving various stakeholders. (2) Organisations need to understand how technological developments could create competitive advantage through their strategy and deploy it to relevant positivistic and behavioural measures.     

The evolution and problems of model management research

Models are a key resource for organizational decision making. The diversity, complexity, and reusability of this resource result in the need for model management systems. The construction of a model management system involves a modeling task dimension and a design level dimension. The modeling task dimension consists of model formulation, model representation, and model processing. The design level dimension addresses the architectural requirements of a system from a user's standpoint and a computer system's standpoint.The numerous architectures suggested in the model management systems literature address isolated areas identified by these dimensions. The research surveyed in this paper indicates that the primary focus has been on the system view of model representation. Before model management systems can be widely used in organizations, model management researchers must explore systems that address all areas of the task and design level dimensions.In this paper, we identify and justify the necessary dimensions of model management research. Next, the existing model management research is critically reviewed. Finally, neglected research areas are discussed, and investigations necessary for the development of integrated model management systems are suggested.