Trust in management and knowledge sharing: The mediating effects of fear and knowledge documentation

Knowledge sharing within and between teams is of vital importance for organizations. The influence of interpersonal trust in general and trust in management in particular on knowledge sharing is evident. However, it is not clear how the relationship between interpersonal trust and knowledge sharing works. This study provides a better understanding of that relationship by demonstrating that fear of losing one's unique value and knowledge documentation have a mediating effect on the relationship between trust in management and knowledge sharing. Specifically, trust in management increases knowledge sharing through reducing fear of losing one's unique value and improving willingness to document knowledge. These findings have important implications at both a managerial and theoretical level. For managers, this paper emphasizes the individual's central role in the knowledge sharing process in terms of knowledge documentation and fear of losing one's unique value. On the theoretical level, this study provides empirical evidence for two mechanisms that help explain the effect of trust in management on knowledge sharing. In future research, this study could be extended to include other psychosocial phenomena that enable knowledge sharing in organizations.     

Organizational Computing as a Facilitator of Operational and Managerial Decision Making: An Exploratory Study of Managers' Perceptions*

Much of the current knowledge pertaining to information technology (IT) and decision making is based on decades old technologies that revolved around a central computing function and application-specific systems. The purpose of this research is to examine the IT decision-making relationship within the emerging organizational computing (OC) environment permeated by spontaneous utilization of both application-and nonapplication-specific computing and communication technologies. Specifically, this study seeks to explore managers' perceptions of the emerging OC environment as a facilitator of their decision-making activities. To achieve a higher level of clarity than previous works, a two-dimensional research framework is developed with the IT dimension consisting of computing and communication, and the decision-making dimension differentiated between operational and managerial decisions. A survey instrument was constructed that measured the computing and communication dimensions of information technology use and their perceived effects upon operational and managerial decisions. The major findings of the study confirmed that managers recognize the value of general, nonapplication-specific information technologies in decision making, and that this recognition is highly associated with how intensively these information technologies are used. Additionally, it was found that the two dimensions of IT differ in their relationships to decision making, and that IT usage relates to managerial decisions differently than operational decisions. These study findings have significant implication for practice and research, especially in the context of information resource management in which the primary purpose of the IS function is the delivery of general information service to users rather than the development of specific IS applications.     

An Exploration of New Product Development's Front‐end Knowledge Conceptualization Process in Discontinuous Innovations

Organizational knowledge creation, as reflected in new product/service development, is a vital process for firms to master. Critical to the development of new products/services is the management of the front‐end phase, which crucially determines the eventual fate of a new product/service idea. However, studies on how knowledge is created at the front‐end of the new product development process are rare. This empirical paper addresses this gap by focusing on knowledge conceptualization – where new knowledge from its generation is crystallized into a concrete and explicit form. Employing a qualitative methodology, the paper examines ten discontinuous projects and develops a front‐end knowledge conceptualization framework. The framework consists of the identified knowledge conceptualization stages and illuminates the pattern of overlaps, outcomes, contributors, knowledge, interactions and volatility across each stage. Our main contribution is a knowledge‐based appreciation of the dynamic and interactive nature of the new product/service development's front‐end phase in the context of discontinuous innovations, and thence the paper provides clear managerial learning points for the effective management of this phase.     

德鲁克论21世纪管理挑战——知识工作者生产率

彼得·德鲁克在新著中对知识工作者生产率作了考察,并指出个人与组织方面的基本态度上的变化以及工作本身的结构变化皆为增进生产率之必需.他解释了由于泰罗科学管理的应用而增进了发达国家手工工作者生产率是20世纪管理的最重要的贡献.他阐明了人们关于知识工作者生产率之所获知,并提出它的各项主要因素.他提出了“技术人员”(既是知识工作者又是手工工作者),并以实例说明使其有效的三个因素.他把知识工作者看成一个系统,并指出知识工作者与知识工作者生产率的出现对公司治理的意义.德鲁克强调,知识工作者生产率是21世纪管理的最大挑战.在发达国家,这是它们的第一生存需要.     

A Knowledge Framework Underlying Process Management*

Organizations are increasingly implementing process‐improvement techniques like Six Sigma, total quality management, lean, and business process re‐engineering to improve organizational performance. These techniques are part of a process management system that includes the organizational infrastructure to support the improvement techniques. The knowledge‐based view of a firm argues that organizational knowledge is the source of competitive advantage. To the extent that the process management system enables knowledge creation it should be a source of competitive advantage. This study investigates the underlying framework and factors of a process management system that lead to organizational knowledge creation. Prior studies have considered knowledge creation in process improvement, but none have considered the role of the process management system. Specifically, the study uses the case study method to investigate multiple levels (organization level and project level) of two firms using Six Sigma as their chosen process management system. Analysis of the cases reveals that the leadership creates a supportive infrastructure enabling process‐improvement techniques to effectively create organizational knowledge. Interestingly, focusing on decision‐making tools and methods may not be effective without developing a supportive infrastructure. The proposed framework provides a basis for organizational leaders to think about how to design and implement a process management system to better enable knowledge creation in organizations.     

Culminating events and time working together in top management teams: Insights from private equity

In some managerial contexts, performance is measured by the results of a rare event that is itself the culmination of a long and ongoing process of daily decision making. In the private equity (PE) industry, for example, a firm makes a limited number of investments throughout its life. However, selecting these few investments requires the firm to engage in a large number of decision-making activities to evaluate the much larger array of potential investments. This raises the interesting possibility that the performance of each culminating event is not a function of the number of previously completed tasks, as it has been conceived previously, but is in fact a function of the accumulation of daily decision making that may or may not culminate in actual buyouts. To understand performance drivers in this and similar contexts, we examine and test the performance effect of the time that members of a PE top management team (TMT) spend working together to evaluate potential investments, and untangle this effect from the number of investments the TMT has bought and sold previously. Our data reveal a U-shaped relationship between time working together (TWT) and buyout performance, and a moderation effect of TMT heterogeneity and TMT support staff size. These findings extend our knowledge of executive decision making in PE firms, and in all managerial contexts where rare decision events are the culmination of an extended process of daily decision making.     

Decoupling thinking in service operations: a case in healthcare delivery system design

The notion of decoupling thinking has been well established in the manufacturing operations and supply chain management literature. This paper explores how this decoupling thinking can be applied in service operations and in particular in health care. It first reviews the relevant literature on decoupling fundamentals, the front- and back-office distinction, and new emerging decoupling thinking in service operations. Subsequently, a flow-based framework including content and process is developed for decoupling thinking in service operations. The framework provides an integrated perspective on customer contact, flow driver and flow differentiation (level of customisation). The framework hence, through flow differentiation, introduces the concept of standardisation versus customisation in a service context. This is followed by a health care case example to illustrate how the framework can be applied. The managerial implications are primarily in terms of a modularised approach to system design and management. The framework offers potential for benchmarking with other service systems as well as with manufacturing systems based on the shared foundation in decoupling thinking. Finally, suggestions are provided for further research opportunities derived from this research.     

Decision knowledge sharing: flexible supply chains in KM context

Supply chain excellence has a real impact on business strategy. Building supply chains as flexible systems represents one of the most exciting opportunities to create value and one of the most challenging tasks for the policy makers. It requires integrated decision making amongst autonomous chain partners with effective decision knowledge sharing between them. The key to success lies in knowing which decision has more impact on the overall performance and this can be achieved by appropriate knowledge sharing. In this context, knowledge management (KM) can be used as an effective approach to achieve knowledge sharing and decision synchronisation in supply chains. Flexible supply chains (FSC_s) are more complex and involve multiple autonomous players with varying technical cultures (affects knowledge mindsets), managerial background (affects decision knowledge) and supply chain management (SCM) exposures (affects knowledge sharing attitudes). Thus there is a need to develop demo models that can encourage chain managers towards collaborative knowledge sharing in the supply chains. This paper presents the application of one such model based on decision knowledge sharing (DKS) for improved supply chain management. A simulation model of a flexible supply chain based on DKS framework is developed for demo purposes. The key results are highlighted along with industry implications. The cost based performance of DKS at different levels of flexibility is studied. Thus a careful analysis of the chain with a focus on collaborative decisions is useful to ensure success. This paper addresses this interesting and challenging domain.     

Kaleidoscopes and the multiplicity of perspectives in human resource development

This paper tracks changes in design and implementation of Western management training interventions in Eastern Europe (EE) over a period of more than a decade. The study is based empirically on three management development programmes conducted by Westerners in the transitional environments of Bulgaria and Russia from 1992 to 2003. Departing from existing literature on knowledge transfer from Western to EE, activity theory is used to identify a process of reconfiguring the zone of proximal development of East European (also abbreviated EE in the article) participants and conclude that there is a growing desire and assertiveness on the part of local participants to formulate their own strategic and managerial repertoires. At the same time, it is also observed that as a product of Western ideology of the transitional process, there has been empowerment of socio-demographic groupings who demonstrate consonant ideological inclinations towards Western managerial discourse, most notably young, educated and English proficient individuals.     

Data Envelopment Analysis for Managerial Control and Diagnosis*

Data envelopment analysis (DEA) is a linear programming-based technique that converts multiple input and output measures into a single comprehensive measure of productive efficiency. This is accomplished via the construction of an empirically based production frontier and by the identification of peer groups. Each unit is evaluated by comparison against a composite unit that is constructed as a convex combination of other units in its peer group. DEA has now been applied in a variety of managerial contexts. In this paper we draw on theories of decision making, measurement and control, the mathematical properties of DEA, prior reported applications, and our own experience, to assess the potential of DEA as a general management tool. We first make the distinction between managerial diagnosis and control. We show how measurement requirements differ for these two managerial decision contexts, and argue that DEA has the potential to provide support in each context. Measurement and decision support criteria for each activity are then developed by reference to the literature on diagnosis and control. Based on its mathematical definition and properties, the relevant attributes of DEA are then derived. The technique is evaluated in each capacity by comparison to the appropriate set of criteria. This evaluation is supported with evidence from our experience with DEA in a large public-sector organization. We argue that the structural properties of DEA, critical managerial choices in its application, and situationally specific factors, interact to determine the strengths and limitations of DEA in each decision context. Implications for research and practice are discussed.     

Policy making at Nederlandsche Middenstandsbank (NMB), Amsterdam

In banking, the problem is that a centrally designed policy based on extensive analyses has to be made operational to a large extent from a decentralized level. It is against this background that the process of policy- making is described as it takes place at Nederlandsche Middenstandsbank in Amsterdam. Consideration is particularly given to the relation between policy and organizational and social functioning of the bank. The starting point is the recognition that especially in a complex financial and commercial conduct of policy the nature and quality of the management process has come to be a decisive factor in the pursuit of profit, growth and continuity.     

Prozessverbesserung mit Reifegradmodellen

Since the Software Engineering Institute has published the Capability Maturity Model in 1991, maturity models evolved into a commonly used instrument for assessing the state of a specific class of objects and for identifying improvement measures. As process improvement is a core task of business process management and takes top positions on CIO agendas, maturity models are prospering in this domain as well. However, it remains unclear which maturity levels should be aspired for distinct processes or process groups. Numerous companies strive for increasing or even maximizing maturity levels. Some maturity model specifications contain oppositional advice, but lack concrete recommendations. Even academia provides no answers. Against this background, we propose a mathematical optimization model that builds on insights from value-based management in order to analyze general economic relationships of process improvement with maturity models. The guiding effects of these relationships are illustrated using the example of ??CMMI for Services??. We conclude by discussing limitations and by pointing out theoretical as well as managerial implications.     

基于交叉评价策略的DEA全局协调相对效率排序模型

在DEA(数据包络分析)研究领域,建构在交叉效率概念基础上的现有决策单元排序方法仅以定义的方式给出了用于决策单元排序的交叉效率评价值。对于这种方法构建方式,分别基于管理学的效率概念和多属性决策理论,分析指出其中的交叉效率评价值从本质上讲既与效率的管理学概念不符,也与决策单元的优劣不存在理性逻辑联系。为克服现有决策单元排序方法所存在的上述问题,基于交叉评价策略和效率的管理学概念内涵给出了DEA全局协调相对效率的新概念,在此基础上利用优化理论给出了可以用于决策单元优劣排序的DEA全局协调相对效率测度模型,并通过理论分析和数值案例验证解释了该模型相对于现有决策单元排序方法所拥有的比较优势。     

A Framework for Practising Knowledge Management

The management of an intangible asset such as knowledge is beset with complex and theoretical concepts. This paper sets out a matrix that describes four approaches to Knowledge Management based on whether it is in an organisational or an individual context, and whether knowledge management is imposed or empowered by managerial approaches. It explores the validity of the framework through an analysis of ongoing management projects at seven organisations.     

A production model for deteriorating items with stochastic preventive maintenance time and rework process with FIFO rule

Due to unreliable production facility and stochastic preventive maintenance, deriving an optimal production inventory decision in practice is very complicated. In this paper, we develop a production model for deteriorating items with stochastic preventive maintenance time and rework using the first in first out (FIFO) rule. From our literature search, no study has been done on the above problem. The problem is solved using a simple search procedure; this makes it more practical for use by industries. Two case examples using uniform and exponential distribution preventive maintenance time are applied. Examples and sensitivity analysis are conducted for each case. The results show that rework and preventive maintenance time have significant affected the total cost and the optimal production time. This provides helpful managerial insights to help management in making smart decisions.     

A production model for deteriorating items with stochastic preventive maintenance time and rework process with FIFO rule

Due to unreliable production facility and stochastic preventive maintenance, deriving an optimal production inventory decision in practice is very complicated. In this paper, we develop a production model for deteriorating items with stochastic preventive maintenance time and rework using the first in first out (FIFO) rule. From our literature search, no study has been done on the above problem. The problem is solved using a simple search procedure; this makes it more practical for use by industries. Two case examples using uniform and exponential distribution preventive maintenance time are applied. Examples and sensitivity analysis are conducted for each case. The results show that rework and preventive maintenance time have significant affected the total cost and the optimal production time. This provides helpful managerial insights to help management in making smart decisions.     

提高员工工作满意度机制的系统分析:和谐管理理论的启示与价值

在企业经营管理实践中,如何提高员工的工作满意度是企业激励员工、进行有效的人力资源管理、保证企业长远发展的关键问题。针对这一问题,本文在回顾和分析现有关于工作满意度理论和实践的基础上,利用和谐管理理论提供的复杂管理问题的解决之道,即主题导向下的双规则互动耦合思路对于解决该问题的有益启示和帮助,结合某设计院提高员工工作满意度的实践,从优化完善相关制度与机制、营造能充分发挥员工能动性的工作氛围,以及围绕提高工作满意度这一主题的整合三个方面形成有机系统,从而构建了基于和谐管理理论的提高工作满意度的管理体系,为这一问题的解决提供了新的思路。     

Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice

This paper investigates the gap between research and practice in spare parts management, with specific reference to durable goods addressed to private or professional customers. The paper provides a critical literature review of theoretical contributions about spare parts classification and demand forecasting for stock control. The discussion of ten case studies, then, allows to analyze the reasons for this gap, by addressing the limitations of models developed in literature, the role of contextual factors and the maturity in companies' spare parts management practices. Four main directions for research are proposed in order to bridge the gap, namely: to develop integrated approaches to spare parts management; to define contingency-based managerial guidelines, to favor the knowledge accumulation process in companies, and to supplement theoretical models with practical relevance.