The Efficacy of Action at a Distance as a Control Mechanism in the Construction Industry When a Trust Relationship Breaks Down: an Illustrative Case Study

A paper published by one of the authors (Woodward and Squires, 1996), described a situation where the accounting information system used by a geographically‐remote project manager to report progress on a project to his headquarters proved inadequate for that task. The inadequacy was particularly relevant in the reported case, in that the object project was one of considerable significance to the company, being the largest and most complex it had ever undertaken. While the earlier paper concentrated initially upon identifying the perceived shortcomings in the organization’s accounting information system, and subsequently upon delineating the proposal for a ‘workable’ solution thereto, the purpose of the present paper is rather to analyse the situation earlier reported, in the context of a perceived breakdown in the trust relationship existing between the project manager and his superior, the company’s managing director. The managing director trusted his subordinate, although it seems apparent retrospectively that the trusting relationship existing was abused. While the underpinning precept of trust is thus fundamental to the present analysis, it is additionally necessary to utilize as relevant concepts: the veracity of the company’s control mechanism (via the concept of action at a distance) to adequately report what was happening remote from headquarters; the assumption that the project manager, as agent, had the potential to abuse his position; and, finally, that the project manager’s professional affiliation was probably insufficiently strong to sustain self‐control based upon ‘clan’ considerations. It also emerges from the analysis that multiple, rather than single, trust relationships were at work.     

Business Performance Analytics: exploring the potential for Performance Management Systems

Business Performance Analytics (BPA) entails the systematic use of data and analytical methods (mathematical, econometric and statistical) for performance measurement and management. Although potentially overcoming some traditional diagnostic issues related to Performance Management Systems (PMS), such as information overload, absence of cause-effect relationships, lack of a holistic view of the organisation, research in the field is still in its infancy. A comprehensive model for operationalising analytics for diagnostic and interactive PMS is still lacking. Adopting an action research approach, this paper addresses this gap and develops a five-step framework applied to a company operating in the construction industry. The results show that in addition to encouraging dialogue, BPA can contribute to identifying critical performance variables, potential sources of risk and related interdependencies. A number of critical issues in implementing data-based approaches are also highlighted, including data quality, organisational competences and cultural shifts.     

Can Target Costing and Whole Life Costing be Applied in the Construction Industry?: Evidence from Two Case Studies

Building on the results of a far‐reaching action research project we discuss an attempt to introduce target costing in the UK construction industry. After examining some of the issues facing the UK construction industry, we examine the case for using target costing as a way of supporting supply‐chain integration in view of an improvement of the level of profitability and quality of the industry. After presenting evidence from two pilot projects we propose some considerations on target costing and its applicability to the UK construction sector and derive directions for future research.     

Action Learning - A Paradigm in Emergence: the Problems Facing a Challenge to Traditional Management Education and Development

This paper examines the proposition that action learning is a new paradigm in management education. Action learning is becoming widely accepted methodology for the development of managers and managerial competence. This is in both public and private sector organizations and within the context of certificated and organisationally based programmes. The paper seeks to use Kuhn's work on the nature of paradigms and change as a way of explaining the increase of interest in his approach. Importantly, although this approach promises to answer some of the problems of traditional management education, it is not without its own critics. Kuhn's criteria for a paradigm change are explained with reference to action learning literature and knowledge of practice. From this a framework is developed that compares a traditional approach to management education with an action learning approach on three levels. Our conclusion is that action learning is a new paradigm, but for the maximum benefit to be gained from the approach its application needs to be more carefully considered, particularly in relation to the provision of some wider external frameworks for the manager to use as‘tools for thinking’     

Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment

This article presents the development of a conceptual framework which aims to assess Decision Making Units (DMUs) from multiple perspectives. The proposed conceptual framework combines the Balanced Scorecard (BSC) method with the non-parametric technique known as Data Envelopment Analysis (DEA) by using various interconnected models which try to encapsulate four perspectives of performance (financial, customers, internal processes, learning and growth).The practical relevance of the conceptual model has been tested by using it to assess the performance of DMUs in a multinational company which operates in two business areas. Various models were developed with the collaboration of the directors of the company in order to conceive an appropriate and consensual framework, which may provide useful information for the company. The application of the conceptual framework provides structured information regarding the performance of each DMU (from multiple perspectives) and ways to improve it. By integrating the BSC and the DEA approaches this research helps to identify where there is room for improving organisational performance and points out opportunities for reciprocal learning between DMUs. In doing so, this article provides a set of recommendations relating to the successful application of DEA and its integration with the BSC, in order to promote a continuous learning process and to bring about improvements in performance.     

Supplier code of conduct–state-of-the-art and customisation in the electronics industry

In the field of corporate social responsibility (CSR), one efficient way to improve the ethical behaviour of a company is the implementation of a code of conduct. When focused on suppliers, this code is referred to as the supplier code of conduct (SCoC). Specific, application-oriented research on SCoCs is rare. The main goals of the present article are to define the state-of-the-art in SCoCs and to show how this review can be used in industrial practice when defining a company-specific SCoC. This article uses the electronics industry as an example. The state-of-the-art review of the content of the SCoCs is structured in five main categories of issues: labour standards, health and safety, environment, ethics and compliance. The practical relevance of this review is demonstrated by applying it in the development of a customised SCoC for a company as a part of the company's corporate risk management activities. This review uses the content analysis of SCoCs based on the website disclosures of the Forbes Fortune 2000 (Technology Hardware & Equipment) companies; which yielded 24 SCoCs. The application was done in an action research framework with a partner company, and the results were verified with the help of a focus group consisting of 10 companies.     

A Multi-disciplinary Identification of Issues Associated with ‘Contracting’ in Market-oriented Health Service Reforms

Multi-disciplinary perspectives from operational research, management information systems, purposeful activity systems, accounting and finance, transaction-cost economics and organization learning are discussed in relation to `contracting' in the NHS following the recent reforms, applied within the general framework of soft-systems methodology. These are then used to frame questions for collecting information about contracting practices and issues. The data so collected suggest that the issues and activities associated with contracting can be grouped into five interacting categories of: strategy formation, making enabling arrangements, operational management of contracted activities, identifying and relating to stakeholders, and carrying forward organizational learning from experience. Each of the disciplinary perspectives attributes significance to specific forms in these five activities. The possibility of some multi-disciplinary linking of theoretical perspectives is demonstrated. Information and purposeful systems are central to this, being on the one hand created by social processes which define relevant information and corporate alignments of purpose, and on the other hand patterns of activity that can be evaluated in terms of contribution to these purposes, with properties of greater or lesser inhibition of innovation to improve purpose achievement. As a case study of an attempt at inter-disciplinary research, it demonstrates that interdisciplinary linkage can be made, though certain epistemological issues are skated over in the process. On the basis of the case study, some of the richness and insight of the different perspectives is lost in the process. The critical debate about the neutrality of soft-systems methodology is commented on in the light of the study.     

From organization development to corporate development at Trebor

This article is a case history of a medium-sized, family-owned business where the corporate planning activity has been taken over by the Executive Board, which is concerned with a careful definition and dissemination of company strategy and with focusing action in the form of long-term planning projects. The organizational learning approach is evolutionary and incremental, involving—as in the Japanese style of management— many levels in project development.     

Action Research for Management Research

Action research has become increasingly prominent among management researchers as an espoused paradigm used to justify the validity of a range of research outputs. In this paper we introduce and discuss 12 contentions which, we argue, justify an action research project as quality research. The contentions are presented through a discussion of a number of important issues: generality and theory generation, the type of theory development appropriate to action research, the pragmatic focus of action research, designing action research and validity of action research.     

Developing a Human‐centred and Science‐based Approach to Design: The Knowledge Management Platform Project

The gap between theory and practice is a persistent problem in management and organization research. In this respect, several scholars have suggested that ‘design’ is an ideal‐typical form of mode 2 knowledge production. Design research develops knowledge in the service of action and problem solving in organizational settings. In this paper, we connect two perspectives on design that can be considered to be largely complementary but have hardly been combined and integrated in practice: science‐based design drawing on design propositions grounded in research and human‐centred design emphasizing an active and systematic participation by users and other stakeholders. An integrated approach that builds on both perspectives is developed and subsequently applied to designing and developing a portal for mapping competencies in an information technology cluster. This project involves creating problem awareness and articulating design propositions as well as developing scenarios of use, experimenting with prototypes, and organizational transformation. As such, this methodology addresses the dual challenge of rigour and relevance by producing both scientific and practical knowledge.     

The Protective Action Decision Model: Theoretical Modifications and Additional Evidence

The Protective Action Decision Model (PADM) is a multistage model that is based on findings from research on people's responses to environmental hazards and disasters. The PADM integrates the processing of information derived from social and environmental cues with messages that social sources transmit through communication channels to those at risk. The PADM identifies three critical predecision processes (reception, attention, and comprehension of warnings or exposure, attention, and interpretation of environmental/social cues)—that precede all further processing. The revised model identifies three core perceptions—threat perceptions, protective action perceptions, and stakeholder perceptions—that form the basis for decisions about how to respond to an imminent or long‐term threat. The outcome of the protective action decision‐making process, together with situational facilitators and impediments, produces a behavioral response. In addition to describing the revised model and the research on which it is based, this article describes three applications (development of risk communication programs, evacuation modeling, and adoption of long‐term hazard adjustments) and identifies some of the research needed to address unresolved issues.     

META-DESIGN CONSIDERATIONS IN DEVELOPING MODEL MANAGEMENT SYSTEMS*

This paper examines cognitive considerations in developing model management systems (MMSs). First, two approaches to MMS design are reviewed briefly: one based on database theory and one based on knowledge-representation techniques. Then three major cognitive issues—human limitations, information storage and retrieval, and problem-solving strategies—and their implications for MMS design are discussed. Evidence indicates that automatic modeling, which generates more complicated models by integrating existing models automatically, is a critical function of model management systems. In order to discuss issues pertinent to automatic modeling, a graph-based framework for integrating models is introduced. The framework captures some aspects of the processes by which human beings develop models as route selections on a network of all possible alternatives. Based on this framework, three issues are investigated: (1) What are proper criteria for evaluating a model formulated by an MMS? (2) If more than one criterion is chosen for evaluation, how can evaluations on each of the criteria be combined to get an overall evaluation of the model? (3) When should a model be evaluated? Finally, examples are presented to illustrate various modeling strategies.     

Harnessing Diversity and Collective Action in the Top Management Team

Diversity has become an important issue at all levels of the company from the boardroom to the back office. It is increasingly apparent that diversity is vital to productivity, with academic research indicating an important link between diverse top management team (TMT) composition and corporate performance. However, the nature of this link remains elusive, as there is little accessible research that can help top teams to evaluate how diversity impacts on their strategic capacity. This paper seeks to fill this gap by developing a conceptual framework, illustrated with case examples, to explain the relationships between TMT diversity and TMT collective action. As collective action is difficult to attain from top teams that are high in diversity, six practical processes are developed from this framework for establishing and exploiting top team strategic capacity. The paper concludes by outlining the theoretical implications of the framework.

It is the range of skills and attributes acquired through a diversity of experiences and backgrounds that combine to create a cohesive and effective board.¹

     

Collective Intuition: Implications for Improved Decision Making and Organizational Learning

This article establishes the foundation for research on collective intuition through a study of decision making and organizational learning processes in police senior management teams. We conceptualize collective intuition as independently formed judgement based on domain‐specific knowledge, experience and cognitive ability, shared and interpreted collectively. We contribute to intuition research, which has tended to focus its attention at the individual level, by studying intuition collectively in team settings. From a dual‐process perspective, we investigate how expert intuition and deliberation affect decision making and learning at various levels of the organization. Furthermore, we contribute to organizational learning research by offering an empirically derived elaboration of the foundational 4I framework, identifying additional ‘feed‐forward’ and ‘feedback’ loop processes, and thereby providing a more complete account of this organizational learning model. Bridging a variety of relevant but previously unconnected literatures via our focal concept of collective intuition, our research provides a foundation for future studies of this vitally important but under‐researched organizational phenomenon. We offer theoretical and practical implications whereby expert intuitions can be developed and leveraged collectively as valuable sources of organizational knowledge and learning, and contribute to improved decision making in organizations.     

The Role of Project and Organizational Context in Managing High‐tech R&D Projects

High‐tech organizations often struggle to manage different types of R&D projects. Evidence from research and practice suggests that managers frequently categorize and manage projects based on the extent of change triggered in product, process, technology, and market dimensions. However, this can create challenges in high‐tech organizations. This study investigates how high‐tech organizations manage R&D projects based on their learning goals. First, we argue for the benefits of categorizing R&D projects based on the degree of exploration and exploitation learning goals. A qualitative case study from four high‐tech business units involving 10 R&D projects helps understand the different types of projects based on their learning goals. The case study shows that R&D projects in high‐tech organizations typically fall into three categories based on their learning goals: Radical innovation projects, Incremental innovation projects, and Hybrid projects. Second, we iterate between literature and evidence from our qualitative data to theorize how project context and organizational context affect project performance depending on the type of project. The data for the empirical analysis come from a multilevel survey of 110 R&D projects across 34 high‐tech business units. Results show the importance of designing project and organizational context differently for the three types of R&D projects. Collectively, this study offers a new perspective on how to manage high‐tech R&D projects.     

Programmed, Autonomous-Formal and Spontaneous Organizational Learning

Organizational learning (OL) has been represented either as the systematic governance of collective expertise or as a relatively anarchic process of implicit transaction within and across fluid, dispersed communities of practice. Qualitative case‐study research open to both perspectives was conducted in a not‐for‐profit service organization, a franchisee company and a vertically integrated company, all based in Hong Kong. Two forms of OL as systematic governance were found: ‘programmed’ OL (POL) and ‘autonomous‐formal’ OL (AFOL), respectively. The relative emphasis on POL and AFOL appeared to vary from organization to organization, and to be influenced by management philosophy and by institutional frameworks such as professionalization and franchisee status. A ‘spontaneous’ and dispersed form of implicitly transacted OL (SOL) was also found. SOL appeared to reflect natural exuberance but was attenuated when colleagues regarded knowledge as a commodity. There appeared to be synergy between AFOL and SOL.     

Customer Learning Processes,Strategy Selection,and Performance in Business‐to‐Business Service Firms*

Learning about customers takes place through relevant dialogues with those customers, also known as customer relationship management (CRM). As relationships develop, information about the customer is gathered in the firm's customer information systems (CIS): the content, processes, and assets associated with gathering and moving customer information throughout the firm. This research develops a measure of CIS management capabilities based on learning organization theory and measured by the ability to get, store, move, and use information throughout the business unit. This measure is then used to analyze customer learning processes and associated performance in the context of marketing strategic decision making. This study of 209 business services firms finds that generic marketing strategy positioning (low‐cost and differentiation) and the marketing tactics of personalization and customization are related to CIS development. Customer information systems development in turn is associated with higher levels of customer‐based performance, which in turn is associated with increased business growth. Since the strongest association with customer‐based performance is strategy selection, the long‐term benefits of the knowledge gained from the CIS may be in the ability to assist in measuring customer‐based performance, rather than in the ability to immediately contribute to performance. Finally, for these firms, customization and personalization are not directly associated with performance and thus may not be necessary to support every firm's marketing strategy.     

Developing a manufacturing vision

The concept of a manufacturing vision is introduced as a company specific, commonly shared, holistic picture of the way in which future manufacturing in the company will function. First is presented what a manufacturing vision is, and then is presented a five-step framework in which such a manufacturing vision may be developed. A manufacturing vision is regarded as a bridge between the mission, goals, and strategies of an industrial enterprise and the detailed design of a manufacturing system. Such a bridge may ensure that manufacturing is able to make a relevant strategic contribution to developing and sustaining the competitiveness of the company and may serve as a guide for innovation and integration of the various elements of a manufacturing system. The paper rests on action research projects in more than ten industrial companies, and the experiences gained are discussed in a section on issues related to the development process including experimentation without fear of losing face, participation and involvement of managers and employees, and finally the outset for a manufacturing vision. To give an example of a manufacturing vision the paper also very briefly introduces a case of a medium-sized supplier of welded parts and equipment for a number of different industries.     

TEACHING SUPPLY CHAIN MANAGEMENT THROUGH GLOBAL PROJECTS WITH GLOBAL PROJECT TEAMS

In this article, we describe the Global Project Coordination Course, a course in which project teams composed of three students from each of two overseas universities execute company‐sponsored projects dealing with global supply chain management issues. The $75,000 to $100,00 contributed in total by the three to four sponsoring companies funds all course expenses. We assess the benefits and challenges of the use of cross‐cultural project teams with diverse educational backgrounds. We conclude that the course provides a unique and effective vehicle for furthering students' knowledge of Supply Chain Management and Information Systems, improving understanding of “soft” issues, and training students to work in diverse, global, cross‐cultural project teams.     

Overcoming Learning Aversion in Evaluating and Managing Uncertain Risks

Decision biases can distort cost‐benefit evaluations of uncertain risks, leading to risk management policy decisions with predictably high retrospective regret. We argue that well‐documented decision biases encourage learning aversion, or predictably suboptimal learning and premature decision making in the face of high uncertainty about the costs, risks, and benefits of proposed changes. Biases such as narrow framing, overconfidence, confirmation bias, optimism bias, ambiguity aversion, and hyperbolic discounting of the immediate costs and delayed benefits of learning, contribute to deficient individual and group learning, avoidance of information seeking, underestimation of the value of further information, and hence needlessly inaccurate risk‐cost‐benefit estimates and suboptimal risk management decisions. In practice, such biases can create predictable regret in selection of potential risk‐reducing regulations. Low‐regret learning strategies based on computational reinforcement learning models can potentially overcome some of these suboptimal decision processes by replacing aversion to uncertain probabilities with actions calculated to balance exploration (deliberate experimentation and uncertainty reduction) and exploitation (taking actions to maximize the sum of expected immediate reward, expected discounted future reward, and value of information). We discuss the proposed framework for understanding and overcoming learning aversion and for implementing low‐regret learning strategies using regulation of air pollutants with uncertain health effects as an example.