The 2008 Wall Street Crash: A Failed Organizational Response to Complexity

In the period since the 2008 Wall Street crash, little consensus has emerged on its causes or actions to prevent a recurrence. Our capability for rational decision making was overwhelmed. Viewing the entire financial system as a huge, richly interconnected organization suggests that its structure and associated management practices are suited for a far simpler environment. An organization that is large relative to its environment and sufficiently complex to require the coordination of specialized expertise cannot function by enabling decision makers to respond only to local demands. The resulting inability to recognize critical interdependencies and the nature of their risk makes periodic catastrophic failure likely. Specifically, compartmentalization of information, influence, and reward creates a myopic decision environment in which individual decision makers are unlikely to make effective or ethical decisions. Useful criteria for evaluating solutions can be suggested by considering the interaction of two factors: limited human information processing capability and the effect of motivation on information processing. Taken together, they suggest that human information processing is both limited and opportunistic. We cannot process all information available and the information selected for processing narrows to that needed to achieve salient rewards. Because of this, the organization's reward practices and their effect on motivation are a critical variable. Large financial rewards contingent upon short term, local, simplistic measures inevitably narrow the focus of decision maker's attention to a small part of the system. In contrast, dominant intrinsic motivation is rooted in awareness of, and responsibility for, broader outcomes. Each type of motivation differs in its requirements for sharing of information, influence, and reward. These, in turn, determine the adaptability of the organization to complexity and change. While this has significant ethical implications, its logic rests on the limitations of human information processing and motivation. Aligning human motivation and information flow to the demands of a complex, turbulent financial environment is the challenge we must meet to prevent further cataclysms.     

Understanding the Participation of Critical Task Specialists in Strategic Decision Making*

This paper explores the role of critical task specialists in strategic decision making and presents a theoretical model relating critical task specialist participation in decision making to the organization's overall strategy and the nature of the decision. This exploratory study examines scope and intensity of physician participation in hospital decision making. Intensity of critical task specialist participation is explained by content of the decision and by the organization's strategy, while scope of participation is explained by decision content. The findings suggest the need for more complex models of participation than are normally used in decision-making research. The findings also suggest that executives, in managing strategic decision-making processes, should pay attention to questions of both scope and intensity of participation. The results suggest that critical task specialists play a different role in the decision process, depending on specific decision content and organization strategy.     

Prophets vs. profits: How market competition influences leaders' disciplining behavior towards ethical transgressions

We investigate how market competition influences the way leaders discipline employees' ethical transgressions. A cross-sectional study among organizational leaders (Study 1) revealed that strong market competition is related to an instrumental decision frame (business practices are more focused on serving the organization's interest). This decision frame explains why strong market competition is related to leaders' perceptions of the evaluation of wrongdoing in terms of instrumental rather than moral concerns. Two experiments (Studies 2 and 3) show that increased market competition makes leaders' disciplining of ethical transgressions more contingent upon the transgression's instrumentality to the organization: the same ethical transgression is punished less when it resulted in profit than when it resulted in loss. This research is among the first to identify conditions that determine disciplinary responses of organization leaders to ethical transgressions, and it feeds the debate on whether market competition promotes the display of unethical behavior within organizations.     

A NORMATIVE RESOURCE TRANSFER MODEL

In this paper, the author suggests a methodology for facilitating interactive decision making in a decentralized organization by providing information which may result in the transfer of divisional resources. The resource-transfer information is generated at the beginning of the planning period so that the organization's production control and evaluation systems may be formalized.     

A Service Quality Process Map for Credit Card Processing

Evaluating marketing (external) and operations (internal) service quality performance in most organizations is a data-oriented management task that involves many variables for many different types of services. These two diverse sets of service quality information seldom “match up well” because the marketing and operations functions define and evaluate service quality “their way.” Management's interpretation of what the data “mean” often contributes to extra meetings, unnecessary disagreements within and between functional areas, and poor decision making. This situation can affect the quality and timing of decisions, and ultimately, the organization's profitability and market share. This paper quantitatively relates the customer's evaluation (perception) of service quality directly to the activities and performance criteria of the service delivery process for a credit card processing center. Basic statistical analyses and a recursive path analysis model define the relationships between marketing- and operations-based service quality information. The idea of a “service quality process map” is introduced. A service quality process map relates a flowchart of the service delivery process to the customer's perception of service using the power of multivariate data analysis. Management insights gained from an analysis of marketing (external) and operations (internal) measures of service quality performance can be used to allocate resources wisely. The objective is to gain the most improvement in the customer's perception of service for the least cost. Service quality with this type of evaluation capability can be used to gain competitive advantage in the marketplace.     

INCORPORATING SALES FORCE PREFERENCES IN A GOAL PROGRAMMING MODEL FOR THE SALES RESOURCE ALLOCATION PROBLEM

This note presents a model for the sales territory assignment and resource allocation problem. The integer-goal-programming model includes input from the sales representatives in the form of preference values along with organizational goal values from management. The approach integrates the multiple objectiive inputs both for individual sales reprresentatives and for the organization into a single model by employing the approaches of multiattribute utility theory and multicriteria decision making. The purpose of the model is to provide a vehicle for testing various strategies and assessing the impact of those strategies on the sales representatives’utilities and the organization's goals.     

Participation in Strategic Decision Making: The Role of Organizational Predisposition and Issue Interpretation*

Each time managers are faced with a strategic decision they decide how to decide. Specifically, they make choices about who has necessary information and, therefore, who needs to participate in the decision. Such responses to strategic issues are believed to be affected by the way in which decision makers interpret issues. However, organizations develop habitual responses to issues and may be predisposed because of their attention to rules and routines, or because of past performance, to respond to strategic issues in certain ways regardless of how issues are interpreted. We examined the direct and indirect effects of predisposition (rule orientation and past financial performance) and interpretation of strategic issues on the participation of internal stakeholder groups in strategic decision making. Executives in 52 organizations indicated that rule orientation and performance are directly linked to participation in strategic decision making, and that interpretation and rule orientation are directly linked to each other. Implications for managers include the notion that any effort to improve decision-making effectiveness by shaping how organizational members frame and interpret issues will be constrained by the organization's existing routines as well as its past performance.     

Aspects of manufacturing strategy

Abstract

It is becoming increasingly important for manufacturing organizations to articulate clear and coherent manufacturing strategies that support their long term business objectives. In particular, manufacturing strategy should take conscious account of the competitive posture adopted by the organization in each of the product/market segments in which it has decided to participate. This paper discusses the various ways in which a systemic manufacturing strategy can contribute to an organization's competitiveness, and the processes by which such a strategy can be developed. Some important and often neglected issues concerning the development of the individual components of a manufacturing strategy are examined and the problems and issues of strategy implementation are discussed.     

Network closure's impact on firms’ competitive advantage: The mediating roles of knowledge processes

This study draws on the knowledge management and social network disciplines to examine the effect of network closure on organizations’ competitive advantage. We hypothesize that the level of network closure affects an organization's capability of knowledge identification, knowledge transfer, knowledge protection and knowledge institutionalization; these capabilities in turn affect an organization's competitive advantage. Thus, we model network closure as indirectly affecting an organization's competitive advantage. A Partial Least Square (PLS) analysis of the survey data of 78 Chinese petrochemical firms shows that network closure can both enhance and decrease an organization's competitive advantage. Network closure enhances an organization's competitive advantage by facilitating knowledge protection and transfer (via institutionalization), but decreases competitive advantage by hindering knowledge identification. Environmental dynamics that the organizations encounter are observed to moderate the effect of network closure. Combining our results with the findings from the literature, we propose that organizations operating in a dynamic environment, where the domain knowledge is in a state of flux, need to place great importance on knowledge identification; such organizations should choose a sparse network that allows them to receive diverse knowledge. In contrast, organizations operating in a stable environment should opt for a dense network to protect their knowledge and facilitate transfer of required knowledge.     

A Dynamic Collaboration Capability as a Source of Competitive Advantage

The resource‐based view of the firm argues the essence of decision making is to determine how firm and supply chain resources can be configured to achieve inimitable advantage and superior performance. However, combining resources found among diverse members of a supply chain requires higher levels of coordination than exist at most companies. Manifest cross‐functional and interorganizational conflict impedes the relational advantages of collaboration. This research employs a multimethod—survey and interview—approach to evaluate collaboration's influence on operational and firm performance. Our findings show that collaboration, as a dynamic capability, mediates the conflict resulting from functional orientations, and improves performance. Specific structural enablers to enhance an organization's collaborative capability are identified and described, providing insight into how firms can exploit interfirm resources for competitive advantage.     

Developing a questionnaire for the four-stage model of operations strategy

The development of a questionnaire to classify an organization's operations in accordance with the Hayes and Wheelwright four-stage model is described. Despite its widespread acceptance, little practical application of the model is reported in the literature. This questionnaire offers the means of analysing the strategic role played by operations in an organization, and will be of use to managers, consultants, researchers and others conducting a strategic audit of an organization's operations. The paper uses the results of a large-scale postal survey using the questionnaire to test its usefulness as a research instrument in practice. The survey indicated that the questionnaire is a useful research instrument across a wide range of UK organizations, services as well as manufacturers, not for profits as well as profit seekers. The results of follow-up interviews with multiple respondents in three organizations are also reported. These highlighted a number of ways that the questionnaire might be improved.     

Customizing Quality Management Practices: A Conceptual and Measurement Framework

Quality management (QM) has often been promoted as a universal remedy, where organizations adopt these practices to enhance performance. However, implementation of QM has led to mixed results with some high‐profile failures. Some suggest that customizing QM practices to fit the organization's situational context can help avoid implementation failure and improve performance. However, research has not fully investigated how organizations should go about customizing quality practices. This article addresses this question by conceptualizing two fundamental yet different aspects of QM practices that have different learning objectives: quality exploitation (QEI) and quality exploration (QER). Drawing on experts and empirical data, we develop a reliable and valid set of measures for QEI and QER. Furthermore, the analysis shows the performance differences in the two sets of QM practices across different contextual settings. Specifically, the empirical results show that the benefits of different QM orientations depend on the level of competition and rate of product change. This research challenges prior conceptualizations of QM, and suggests a practical framework to guide decision makers in customizing QM practices.     

AN ADAPTIVE DECISION SUPPORT SYSTEM FOR ACADEMIC RESOURCE PLANNING

Institutions of higher learning are growing increasingly interested in the use of model-based approaches to their resource allocation problems. Recent modeling approaches, however, have failed to consider that resource allocation planning is not a well-structured decision process. Additionally, many decision makers are necessarily involved in the academic planning process and may assume dissimilar perspectives on the importance of achieving different goals and objectives. Furthermore, satisfactory allocation solutions can be expected to vary considerably from decision maker to decision maker as the individual's cognitive processes, perceptions, and evaluations are taken into consideration. This paper describes a decision support system (DSS) approach that attempts to adapt to a variety of academic decision makers with differing planning views in an environment of multiple conflicting objectives. This DSS, which was successfully tested on four academic decision makers in a large midwestern university, shows considerable promise for providing decision support to decision makers with varied problem-solving styles.     

CONSTRAINED DECISION CRITERIA1

The choice of a suitable decision criterion is a difficult decision for many decision makers. In general, each criterion selects a different optimal act, each having its own appealing features. This paper proposes an approach allowing the decision maker to incorporate multiple criteria into an easily solved mathematical programming model whose solution is the optimal act. Optimality is defined by the objective function used in the model. The constraints embody the decision maker's anxieties and minimal desires.     

Improving Decision Effectiveness of Artificial Neural Networks: A Modified Genetic Algorithm Approach

This study proposes the use of a modified genetic algorithm (MGA), a global search technique, as a training method to improve generalizability and to identify relevant inputs in a neural network (NN) model. Generalizability refers to the NN model's ability to perform well on exemplars (observations) that were not used during training (out‐of‐sample); improved generalizability enhances NN's acceptability as a valid decision‐support tool. The MGA improves generalizability by setting unnecessary weights (or connections) to zero and by eliminating these weights. Because the eliminated weights have no further impact on the training (in‐sample or out‐of‐sample data), the relevant variables can be identified from the model. By eliminating unnecessary weights, the MGA is able to search and find a parsimonious model that generalizes well. Unlike the traditional NN, the MGA identifies the model variables that contribute to an outcome, helping decision makers to rationalize output and accept results with greater confidence. The study uses real‐life data to demonstrate the use of MGA.     

Global supplier development considering risk factors using fuzzy extended AHP-based approach

Global supplier development is a multi-criterion decision problem which includes both qualitative and quantitative factors. The global supplier selection problem is more complex than domestic one and it needs more critical analysis. The aim of this paper is to identify and discuss some of the important and critical decision criteria including risk factors for the development of an efficient system for global supplier selection. Fuzzy extended analytic hierarchy process (FEAHP) based methodology will be discussed to tackle the different decision criteria like cost, quality, service performance and supplier's profile including the risk factors involved in the selection of global supplier in the current business scenario. FEAHP is an efficient tool to handle the fuzziness of the data involved in deciding the preferences of different decision variables. The linguistic level of comparisons produced by the customers and experts for each comparison are tapped in the form triangular fuzzy numbers to construct fuzzy pair-wise comparison matrices. The implementation of the system is demonstrated by a problem having four stages of hierarchy which contains different criteria and attributes at wider perspective. The proposed model can provide not only a framework for the organization to select the global supplier but also has the capability to deploy the organization's strategy to its supplier.     

INFORMATION GATHERING IN ORGANIZATIONS: EQUILIBRIUM,WELFARE, AND OPTIMAL NETWORK STRUCTURE

We model an organization as a game in which all agents share a common decision problem and some level of coordination is necessary between individual actions. Agents have individual private information concerning the task they have to perform, and they share this private information through pairwise channels of communication. We analyze how this communication pattern, modeled by means of a network structure, affects individual behavior and aggregate welfare. In the unique equilibrium of this Bayesian game, each agent's optimal action depends on a properly defined knowledge index that measures how the aggregation of information helps him to infer higher‐order beliefs about other's information after communication. Adding communication channels is not always beneficial for the organization because it can lead to mis‐coordination. We single out the geometry of interagent communication links that the manager could implement in order to improve the organization's performance.     

Product design strategies in a manufacturer–retailer distribution channel

Product design decision has significant impacts on firm's competitive edge. In a distribution channel, product design strategy of a manufacturer depends not only on its own decisions, but also on the behaviors of its upstream and downstream partners along the channel. This paper investigates the optimal product design strategy of a manufacturer in a two-stage supply chain that consists of an upstream manufacturer and a downstream retailer. Customers are classified into two groups (i.e., two market segments) according to their difference on quality valuations. For each of the two potential market segments, the manufacturer needs to decide if it is beneficial to design a product with appropriate quality level to meet the demand of customers in the market segment. The retailer procures the product from the manufacturer, and then sells to customers at a retail price. By considering the interactions between the manufacturer and the retailer, this paper first describes the product design problem as a manufacturer-dominant Stackelberg game, and presents the optimal product design strategy for the manufacturer. To improve the performance of the supply chain, the revenue-sharing contract is then introduced into the product design problem. It is found that the revenue-sharing contract can perfectly coordinate the distribution channel in the product design problem. Numerical experiments illustrate the impacts of customer characteristics on the optimal product design strategies.     

Development and Measurement Validity of a Task-Technology Fit Instrument for User Evaluations of Information System

Although many researchers have raised concerns about the lack of theoretical underpinnings for the user evaluation construct and the lack of measurement validity for specific instruments measuring it, the construct is still widely used in IS research. This paper reports on the development and measurement validity of a diagnostic tool used in recently published research to evaluate an organization's overall information systems and services. A distinctive feature of this instrument is that it is conceptually based on the task-technology fit theory in which the correspondence between information systems functionality and task requirements leads to positive user evaluations, and positive performance impacts. Specifically, the instrument development was guided by a task model of managerial decision making using recorded organizational information. This model suggested the different information systems functionalities required by users for that task, which then serve as the basis for a “task-technology fit” (TTF) instrument. The instrument thus measures the degree to which an organization's information systems and services meet the information needs of its managers. An extensive test of the measurement validity of the instrument is conducted using a sample of 357 users in 10 companies. It is found to have excellent reliability and discriminant validity for 12 dimensions of TTF, and also exhibits strong predictive validity. Finally, the instrument is compared to two other well-known user evaluation instruments. Though no single instrument can meet all needs, the instrument presented here should be considered an attractive option for researchers and practitioners seeking to measure the effectiveness of organizational information systems.     

What drives alignment between offered and perceived well-being initiatives in organizations? A cross-case analysis of employer–employee shared strategic intentionality

This study investigates the conditions of alignment between an organization's business strategy and the well-being initiatives (WBIs) offered to employees and employees' perceptions of the latter. We conducted a comparative study on the conditions of alignment between offered and perceived WBIs in three companies with different business strategies. Findings highlight that the alignment between offered and perceived benefits depends on what we label as “shared strategic intentionality”: (1) how employers use their understanding of the organization's business strategy to craft WBIs and (2) employees' attributions about why their employers offer WBIs the way they do and of the broader understanding of the organization's business strategy. We contribute to the strategic HRM literature by proposing an integrative position with regard to the macro (i.e., employer-focused) and micro (i.e., employee-focused) research traditions. Our position has the advantage of looking at employers' intentions and at employees' attributions of intentions simultaneously, and unravels the central role of business strategy in shaping their alignment. From a practical standpoint, not only do we bring a more nuanced understanding of the strategic HRM challenges faced by employers and employees in settings with different business strategies, but we also initiate a discussion about the traps and best practices associated with configuring effective WBIs in organizations.