Cross-boundary teaming for innovation: Integrating research on teams and knowledge in organizations

Cross-boundary teaming, within and across organizations, is an increasingly popular strategy for innovation. Knowledge diversity is seen to expand the range of views and ideas that teams can draw upon to innovate. Yet, case studies reveal that teaming across knowledge boundaries can be difficult in practice, and innovation is not always realized. Two streams of research are particularly relevant for understanding the challenges inherent in cross-boundary teaming: research on team effectiveness and research on knowledge in organizations. They offer complementary insights: the former stream focuses on group dynamics and measures team inputs, processes, emergent states, and outcomes, while the latter closely investigates dialog and objects in recurrent social practices. Drawing from both streams, this paper seeks to shed light on the complexity of cross-boundary teaming, while highlighting factors that may enhance its effectiveness. We develop an integrative model to provide greater explanatory power than previous approaches to assess cross-boundary teaming efforts and their innovation performance.     

Integrating hotel environmental strategies with management control: a structuration approach

This study addresses the development of environmental strategies and associated management control in the international hotel industry, a sector of major economic and environmental impact hitherto largely neglected in the environmental management and accountability literature. The low key level of commitment to environmental management currently exhibited by the industry is considered in the context of dominant systems of hotel management performance evaluation and control, as well as the industry's current strategic management and budgetary practices. Informed by Giddens' structuration theory, the study offers a new theoretical framework, environmentally efficient resourcing, as a structured approach to the development of hotel environmental strategy and its management. Copyright © 2006 John Wiley & Sons, Ltd and ERP Environment.     

Integrating big data and marketing concepts into tourism,hospitality operations and strategy development

Quality & Quantity - Big data (BD) research articles are on new issues, this study sought to fill the knowledge gap of linkage the relationships between big data and marketing strategy with...     

Field vehicle fleet management in humanitarian operations: A case-based approach

Transportation is the second largest overhead cost to humanitarian organizations after personnel. Academic knowledge about fleet management in humanitarian operations is scarce. Using a multiple case research design we study Field Vehicle Fleet Management (Field VFM) in four large International Humanitarian Organizations (IHO): the International Committee of the Red Cross, the International Federation of Red Cross and Red Crescent Societies, the World Food Program and World Vision International. Our field research includes more than 40 interviews at headquarters, regional and national level in Africa, the Middle East and Europe. The paper answers three research questions: (1) How do IHO manage their field vehicle fleets? (2) What are the critical factors affecting IHO Field VFM? (3) How does Field VFM affect in-country program delivery? The contribution of this research is twofold. First, it helps to fill the existing gap in the humanitarian literature regarding Field VFM. Second, it expands the fleet management literature to a new and virtually unexplored area.     

An approach for formalising the supply chain operations

Reference models play an important role in the knowledge management of the various complex collaboration domains (such as supply chain networks). However, they often show a lack of semantic precision and, they are sometimes incomplete. In this article, we present an approach to overcome semantic inconsistencies and incompleteness of the Supply Chain Operations Reference (SCOR) model and hence improve its usefulness and expand the application domain. First, we describe a literal web ontology language (OWL) specification of SCOR concepts (and related tools) built with the intention to preserve the original approach in the classification of process reference model entities, and hence enable the effectiveness of usage in original contexts. Next, we demonstrate the system for its exploitation, in specific – tools for SCOR framework browsing and rapid supply chain process configuration. Then, we describe the SCOR-Full ontology, its relations with relevant domain ontology and show how it can be exploited for improvement of SCOR ontological framework competence. Finally, we elaborate the potential impact of the presented approach, to interoperability of systems in supply chain networks.     

Extending the supply chain: Integrating operations and marketing in the online grocery industry

This study reports results from case studies of four Internet-ordering and home-delivery grocers and 2440 of their customers. Each grocer follows a different operations strategy as determined by choice of where to fulfill customer orders (from existing stores or from a dedicated DC) and by choice of delivery method (direct to the customer's home/office or indirect via customer pickup or third-party logistics provider). The survey data from customers are used to assess the degree of integration between marketing and operations and the relationship with customer behavioral intentions. The results indicate that eBusiness-, product-, and service-quality, all have a significant direct effect on customer behavioral intentions to purchase again. There is limited support for technology as a moderating factor. Finally, the relationships between the predictor variables and customer behavioral intentions differ across grocers. This supports the idea that grocers utilizing different operational strategies should focus attention on different facets of their business and provides insight as to where efforts should be directed.     

Extrinsic motivation as a determinant of knowledge exchange in sales teams: A social network approach

This paper investigates extrinsic motivation as a determinant of knowledge exchange among employees in sales teams. Applying a social network approach, we study different forms of knowledge-exchange behaviors from the perspective of a focal employee and from the perspective of the dyad. From the focal employees' perspective, we disentangle knowledge seeking from knowledge providing, and argue that these two behaviors are affected differently by employees' extrinsic motivation. From the dyad perspective, we take similarity in motivation of tied-to employees and reciprocity of exchange ties into account. To test our hypotheses, we apply exponential random graph models to data gathered from 138 employees in five different sales teams distributed across three companies in Central Europe. The results of our analysis from the focal employees' perspective show that extrinsically motivated employees generally engage in less knowledge exchange. The dyad perspective further highlights that sales employees proceed purposefully when they exchange knowledge with coworkers. For instance, two employees' relative levels of extrinsic motivation determine their willingness to engage in reciprocal knowledge exchange. We discuss the implications of our findings for research on the microfoundations of organizational knowledge management and draw conclusions concerning HRM practices used to foster extrinsic motivation, thereby affecting knowledge exchange.     

Developing leaders for creative efforts: A domain-based approach to leadership development

As we move into the 21st century, innovation, sustained innovation, has become a critical determinant of organizational success and survival. Although we know much about potential influences on innovation, little is known about the actions that should be taken to develop the people who must lead these efforts. In the present paper, we present a model of the capacities and capabilities people need to lead creative efforts. A selection, optimization, and compensation model is used to specify the kind of interventions that might provide a basis for developing these capacities and capabilities. The implications of these observations are discussed with respect to both the relevance of available leadership development techniques and the unique needs of people asked to lead creative efforts.     

Managing healthcare waste for sustainable environmental development: A hybrid decision approach

Healthcare waste management (HCWM) has become the most concerned issue for hospitals to enhance their environmental performance while reducing the waste disposal costs. The present study aims to standardize the evaluation criteria for the stakeholders to ensure sustainable environmental development by safe disposal of infectious healthcare waste (HCW). The present study applied the fuzzy-Delphi method to scrutinize the criteria identified from the literature and experts' opinions and resulted in 20 subcriteria under the following six main dimensions: experience, relationship, environmental factors, technology and qualification, economic factors, and firm's capabilities. Further, this study proposed a hybrid approach based on analytic hierarchy process (AHP) and decision-making trial and evaluation laboratory (DEMATEL) under fuzzy environment to analyze the importance and interrelationships of these listed criteria. The study also showed that the experts have given approximately 70% weightage to three main criteria: firms' capabilities, economic factors, and technology and qualification. The implications of the study would help the healthcare administration and Pollution Control Boards to prepare check sheets for recording HCWM practices and, hence, contribute to sustainable environmental development in an efficient way. Understanding the prioritized cause-group criteria would further protect hospitals' environment from the spread of infection caused by the HCW in the long run.     

Integrating knowledge and knowing: A framework for understanding knowledge-in-practice

The foundation of an organization's strategy often lies in its ability to generate, combine, recombine, and exploit knowledge. Two very different perspectives have emerged in knowledge management research: a commodity view which sees knowledge as something to be acquired, stored, and converted and a community perspective which emphasizes knowing and the ability to act on what one knows. We propose a new framework for understanding knowledge in organizations which integrates these two views and complements prior research by focusing on knowledge-in-practice. In doing so, we clarify the organizational knowledge construct by examining the underlying knowledge-based characteristics of work practices. We create a multidimensional understanding of the knowledge-in-practice construct and introduce the concept of learnability. We explain how the proposed framework can lead to future research and discuss managerial implications for achieving fit between knowledge-in-practice and organization policies.     

A Markov Decision Process approach for balancing intelligence and interdiction operations in city-level drug trafficking enforcement

We study a resource allocation problem in which law enforcement aims to balance intelligence and interdiction decisions to fight against illegal city-level drug trafficking. We propose a Markov Decision Process framework, apply a column generation technique, and develop a heuristic to solve this problem. Our approaches provide insights into how law enforcement should prioritize its actions when there are multiple criminals of different types known to them. We prove that when only one action can be implemented, law enforcement will take action (either target or arrest) on the highest known criminal type to them. Our results demonstrate that: (i) it may be valuable to diversify the action taken on the same criminal type when more than one action can be implemented; (ii) the marginal improvement in terms of the value of the criminals interdicted per unit time by increasing available resources decreases as resource level increases; and (iii) there are losses that arise from not holistically planning the actions of all available resources across distinct operations against drug trafficking networks.     

A self-balancing CUSUM approach for the efficient allocation of resources during post-disaster debris disposal operations

Hurricane Katrina and other recent disasters have underscored the challenges related to disaster-generated debris disposal. During Katrina, extraordinary amounts of debris, far exceeding typical annual amounts of solid waste, were almost instantaneously deposited across a three-state area. Collection and disposal of disaster debris is an enormous task. Although the locations and amounts of debris can be easily summarized after recovery activities have been completed, they are uncertain and difficult to estimate in real time. Inaccurate estimates can result in inequitable allocation of disposal resources, increased costs, prolonged recovery, and increased social, political, and economic unrest. This paper uses prospective statistical process control methods to achieve equity in allocating debris disposal resources. These methods enable the detection of emerging debris collection patterns in real time as debris information becomes available during disposal operations. Using the self-starting CUSUM method proposed by Hawkins (Statistician 36:299?C315, 1987) as a foundation, we develop a self-balancing approach for debris cleanup operations and evaluate its performance using data from a 2003 Atlantic hurricane.     

Leadership in virtual teams: A multilevel perspective

Understanding leadership functioning in virtual teams becomes critical as organizations increasingly use dispersed teams for talent acquisition. In the current article I present a preliminary model that explicates how task- and relationship-oriented leader behaviors influence team and individual processes and outcomes in virtual teams. Further, I discuss cross-level relationships between virtual team and individual processes, as well as the boundary effects of contextual factors (i.e., task complexity, task interdependence, and virtuality) in virtual leadership functioning.     

Design of optimal policies: A variable structure control approach

This paper introduces methods of variable structure control (VSC) theory to economists. The VSC design is based on closed loop optimal control solutions. It is shown that VSC can yield stable solutions in the presence of parameter errors whereas conventional closed loop optimal control solutions become unstable. The methodology is applied to a simple economic model.The authors wish to thank John Burkett and Berc Rustem for constructive comments on earlier versions of the paper.     

Endogeneity in quantile regression models: A control function approach

This paper considers a linear triangular simultaneous equations model with conditional quantile restrictions. The paper adjusts for endogeneity by adopting a control function approach and presents a simple two-step estimator that exploits the partially linear structure of the model. The first step consists of estimation of the residuals of the reduced-form equation for the endogenous explanatory variable. The second step is series estimation of the primary equation with the reduced-form residual included nonparametrically as an additional explanatory variable. This paper imposes no functional form restrictions on the stochastic relationship between the reduced-form residual and the disturbance term in the primary equation conditional on observable explanatory variables. The paper presents regularity conditions for consistency and asymptotic normality of the two-step estimator. In addition, the paper provides some discussions on related estimation methods in the literature.     

A new approach to capital control for emerging market economies

The present paper proposes a new approach to capital control for emerging market economies, which restricts capital inflows to a fraction of the gap between foreign currency denominated loans and deposits in the economy. We show that the foreign-currency-gap capital control proposed here outperforms tax-based capital control in attenuating the negative effects of external shocks on business cycle fluctuations. This attenuation effect works via the interest rate channel and the capital control constraint itself. Compared to tax-based capital control, the foreign-currency-gap capital control is welfare enhancing, effectively mitigating financial instability with little cost in terms of macroeconomic stability. Countries with a high level of foreign currency denominated loans and deposits need to implement a stricter foreign-currency-gap capital control.     

Scale development and validation of Transaction Cost Economics typology for contracts: A systems thinking approach

A variety of contract typologies that exist in the literature are helpful in the exploration of different approaches in contractual relations, but only when measured with the right instruments. Although Transaction Cost Economics (TCE) has a distinct, high-level, and abstract typology for contracts, it still lacks a measurement scale. In this paper, a measurement scale for the TCE contract typology (classical, neo-classical, and relational contracts) was developed and validated, using systems thinking approach and experimental design to contribute to the empirical tests of TCE within the contracting realm. First, the antecedents of contract selection within the TCE literature were analyzed using the systemigram technique to visualize and parse out complex relationships that lead to contract selection. The analysis of the TCE Systemigram helped the development of the scale and revealed the need to revisit the risk neutrality assumption embedded in TCE. Second, a measurement scale for the TCE contract typology (classical, neo-classical, and relational contracts) was developed adhering to the original texts of seminal papers and reviews from the TCE literature. Third, the 14-item measurement scale was validated using a series of three vignette-based experimental studies.Key messageThis research explores the antecedents of the TCE contract typology and develops a measurement scale for essential characteristics of classical, neo-classical, and relational contracts, as defined in TCE, using systems thinking approach and a novel vignette-based experimental design.     

Integrating qualitative and quantitative methods to enhance means-end approach

Conventionally adopted means-end chain (MEC) methodology uses product attributes, consequences and values to indicate consumption behavior hierarchies regarding specific products. These hierarchies are useful for elucidating consumer product knowledge and devise effective marketing strategies. In the MEC literature, the qualitative laddering scheme is the main approach used to identify the contents of consumer cognitive structures. However, MEC suffers limitations associated with the subjective research judgment. To overcome these weaknesses of MEC analysis, this work presents a novel laddering-matrix analysis (LMA) based on the quantitative matrix algorithm. The analytical results demonstrated that by integrating LMA and MEC it is possible to explore the information of the summary implication matrix without bias, thus providing extremely useful material for developing MEC computer software.     

Budgeting for research and development: a dynamic financial simulation approach

The research and development (R&D) budgeting decision is crucial for at least two reasons: if too much is spent, short-term financial stability is at risk, while, if the budget is too small, long-term competitiveness is threatened. Nevertheless, many enterprises simply extrapolate the past without further reflection.This paper presents a computer-based dynamic stochastic simulation model that allows one to assess the impact of alternative R&D budgeting policies on corporate development. The core decisions to be evaluated concern timing and funding of investments in R&D. Our approach substantially expands earlier work by Brockhoff (R&D Manage. 19 (1989) 265). In particular, it distinguishes between product and process innovation, considers market dynamics related to technical progress via a modifiable S-curve, integrates marketing, and takes into account essential financial aspects. As a result, our model is closer to reality than previous ones. A sample application with real company data illustrates its potential usage.