A Public Transportation Decision‐Making Model within a Metropolitan Area

Understanding the decision‐making factors associated with public transportation is essential in strategic development of public transportation to improve acceptance and utilization of mass transit systems. This research analyzes factors affecting attitudes toward public transportation and the choice of transportation mode by investigating the public transportation decision‐making process of working professionals using a survey methodology. The objectives of this research are to model the transportation decision‐making process of public transportation users in a metropolitan area and to determine key factors that affect the public transportation choices made by potential public transportation users. This study contributes to the literature by developing and testing an integrated theoretical framework for modeling an individual's public transportation decision‐making process using four independent variables: Perceived Public Transportation Security, Knowledge, Price, and Convenience. We develop the proposed theoretical framework based upon the extant literature and tested it using partial least squares structural equation modeling (PLS‐SEM). Based on the Theory of Reasoned Action, the Theory of Planned Behavior, and utility theory, we develop the factors and refine associated items using confirmatory factor analysis.     

Examining the Antecedents and Consequences of CIO Strategic Decision‐Making Authority: An Empirical Study*

Despite the strategic importance of information technology (IT) to contemporary firms, chief information officers (CIO) often still have varying degrees of strategic decision‐making authority. In this study, we apply the theory of managerial discretion to define CIO strategic decision‐making authority and argue that the CIO's level of strategic decision‐making authority directly influences IT's contribution to organization performance. We also draw on the power and politics perspective in the strategic decision‐making literature to identify the direct antecedents to the CIO's strategic decision‐making authority. A theoretical model is presented and empirically tested using survey data collected from a cross‐industry sample of 174 matched pairs of CIOs and top business executives through structural equation modeling. The results suggest that organizational climate, organizational support for IT, the CIO's structural power, the CIO's level of strategic effectiveness, and a strong partnership between the CIO and top management team directly influence the CIO's level of strategic decision‐making authority within the organization. The results also suggest that the CIO's strategic decision‐making authority in the organization directly influences the contribution of IT to firm performance and that effective CIOs have a greater influence on IT's contribution when provided with strategic decision‐making authority.     

Corporate Strategy Formulation and Taxation: Evidence from UK Firms*

This paper considers the relationship between corporate strategy formulation and taxation. Drawing on prior literature we briefly review the important influence that international taxation has on an array of corporate strategy decisions. We then consider issues in strategy formulation and taxation planning in order to develop an understanding of when and how taxation factors impinge on strategic decision‐making. We draw out the apparent paradox between the nature of strategic decision‐making and financial decision‐making and look for areas of reconciliation. In order to shed light on some of these issues we present findings from the qualitative analysis of a set of personal interviews undertaken with senior tax practitioners in seven UK‐based multinational enterprises and then consider quantitative responses from the tax practitioners working in 145 UK firms.     

Strategic decision‐making: Process perspectives

This paper reviews the strategic decision‐making process literature with respect to the synoptic formalism/political incrementalism debate. Procedural rationality is chosen as a representative of the synoptic formalism perspective; and both intuitive synthesis and political behaviour are employed as representatives of the political‐incrementalism perspective. In this paper, the author discusses the theoretical underpinnings of these three process dimensions, as well as the key research efforts gathered together under each perspective. In conducting this review, a number of areas have been identified which could profitably be examined further, and a number of implications for managers will be highlighted and discussed.     

A Comprehensive Model for Measuring the Potential Impact of Information Technology on Organizational Strategic Variables*

The existing literature on the impact of information technology (IT) does not include rigorous theory building or empirical studies. This research seems to be the first comprehensive investigation towards the development of an empirically validated comprehensive model for understanding the potential impact of IT on organizational strategic variables. More specifically, organizational and industrial variables that appeared to be affected by IT are identified, measured, and operationalized in the form of a comprehensive model. This study is based on structured interviews with a carefully selected sample of 31 strategic managers who had experience using IT for strategic decisions. In addition, the variables included in the model are well grounded in the information systems literature. The variables are then empirically validated and their reliabilities critically tested. A comprehensive model is derived from these validated variables. The model is a first step towards measuring the overall potential impact of IT on an organization. The model can also be used to gauge IT's potential impact on individual strategic variables. A set of hypotheses is also presented for future research. The hypotheses primarily relate to the impact of IT on organizational strategic performance. The model provides an empirically validated foundation for testing of such hypotheses.     

A Multi‐level Dialectical–Paradox Lens for Top Management Team Strategic Decision‐Making in a Corporate Venture

This paper aims to critique the process of corporate‐owned, high‐tech start‐up strategizing through an inductive, longitudinal, case study of ‘UK‐Research‐Tech’. Insights are given through the combined ‘dialectical–paradox’ concept, thereby focusing on where ‘dialectic’ and ‘paradox’ theorizing overlap. This linked iterative, ‘dialogical–dialectic’ research approach also reflects chief executive officer/top management team (CEO/TMT) start‐up dynamics over time. These foci fill important gaps that impede better understanding of dialectical, dialogical and paradoxical forces within strategic decision‐making. As an interpretative tool, they illuminate CEO/TMT strategizing and changing interrelationships affected by broader, volatile, techno‐economic contexts and parent‐company influences on ventures. In this case study, it was found that the CEO's relatively autocratic, parent‐framed approach combined with TMT members' contradictory reactions to create ‘dialectical–paradox’ oppositional forces, eventually only resolved through ‘eleventh hour’ business strategy changes to rescue the venture. This research contributes to more nuanced understandings of corporate‐constrained ventures during early business development from start‐up strategic decisions at parent‐company level to subsequent conditions of more independent dynamic equilibrium. The ‘dialectical–paradox’ conceptual lens contributes an innovative critique of processes affecting strategic decision‐making dynamics. Another important contribution is the empirically inspired conceptual model, developed for use both to guide subsequent case‐study research analyses and as a reflective tool for CEO/TMT strategic decision‐making, especially within corporate‐inspired start‐ups.     

An Analysis of Strategic Determinants,Learning and Decision‐Making in Sino‐British Joint Ventures

This paper examines how partners’ strategic objectives, inputs and competencies affect the learning they achieve in joint ventures and their ability to influence decision‐making in such ventures. Quantitative and qualitative research in 20 Sino‐British joint ventures permits an investigation of these factors for both British and Chinese joint venture partners. Findings indicate that the transfer by British partners of technology and managerial expertise to joint ventures enhances their ability to achieve their strategic objectives by influencing decisions in such ventures. The learning achieved by British partners depends on their commitment of strategic inputs to joint ventures and is therefore associated with their influence. The case of Chinese partners is different, because they look to learn from the knowledge and resource inputs provided by the British partners. They therefore rely more on legal ownership rights to retain an influence over joint venture decision‐making. The achievement of Chinese partners’ strategic objectives depends more critically on the quality of the partnership itself.     

高层管理团队内部社会资本、团队冲突和决策效果的关系——研究综述与理论分析框架

反映在结构因素、关系因素和认知因素三个维度上的高管团队内部社会资本为决策信息的交换和共享提供了机会、意愿和能力,有利于团队内部形成建设性的冲突模式,促进决策效果的提高.本文以团队冲突为中介变量,建立了高管团队内部社会资本与决策效果的关系的理论框架,提出了研究命题,并对企业高管团队内部社会资本的培育提出建议.     

Path to “Stardom” in Globally Distributed Hybrid Teams: An Examination of a Knowledge‐Centered Perspective using Social Network Analysis

Although distributed teams have been researched extensively in information systems and decision science disciplines, a review of the literature suggests that the dominant focus has been on understanding the factors affecting performance at the team level. There has however been an increasing recognition that specific individuals within such teams are often critical to the team's performance. Consequently, existing knowledge about such teams may be enhanced by examining the factors that affect the performance of individual team members. This study attempts to address this need by identifying individuals who emerge as “stars” in globally distributed teams involved in knowledge work such as information systems development (ISD). Specifically, the study takes a knowledge‐centered view in explaining which factors lead to “stardom” in such teams. Further, it adopts a social network approach consistent with the core principles of structural/relational analysis in developing and empirically validating the research model. Data from U.S.–Scandinavia self‐managed “hybrid” teams engaged in systems development were used to deductively test the proposed model. The overall study has several implications for group decision making: (i) the study focuses on stars within distributed teams, who play an important role in shaping group decision making, and emerge as a result of a negotiated/consensual decision making within egalitarian teams; (ii) an examination of emergent stars from the team members’ point of view reflects the collective acceptance and support dimension decision‐making contexts identified in prior literature; (iii) finally, the study suggests that the social network analysis technique using relational data can be a tool for a democratic decision‐making technique within groups.     

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.     

Decision Making in Cross‐Functional Teams: The Role of Decision Power*

Through a series of game‐theoretical models, this study systematically examines decision making in cross‐functional teams. It provides a framework for the design of an organization‐specific decision‐making process and for the alignment of a team's microdecision with the “optimal” decision that maximizes the firm's payoff. This study finds that even without changing the team leader, firms could change and even dictate the team's microdecision outcome via adjusting the team member's seniority, empowering team members with veto power or involving a supervisor as a threat to overrule the team decision. This finding implies that to reposition products in the marketplace, structuring cross‐functional teams’ microdecision‐making processes is essential.     

Modeling the Cost Effectiveness of Fire Protection Resource Allocation in the United States: Models and a 1980–2014 Case Study

The estimated cost of fire in the United States is about $329 billion a year, yet there are gaps in the literature to measure the effectiveness of investment and to allocate resources optimally in fire protection. This article fills these gaps by creating data‐driven empirical and theoretical models to study the effectiveness of nationwide fire protection investment in reducing economic and human losses. The regression between investment and loss vulnerability shows high R² values (≈0.93). This article also contributes to the literature by modeling strategic (national‐level or state‐level) resource allocation (RA) for fire protection with equity‐efficiency trade‐off considerations, while existing literature focuses on operational‐level RA. This model and its numerical analyses provide techniques and insights to aid the strategic decision‐making process. The results from this model are used to calculate fire risk scores for various geographic regions, which can be used as an indicator of fire risk. A case study of federal fire grant allocation is used to validate and show the utility of the optimal RA model. The results also identify potential underinvestment and overinvestment in fire protection in certain regions. This article presents scenarios in which the model presented outperforms the existing RA scheme, when compared in terms of the correlation of resources allocated with actual number of fire incidents. This article provides some novel insights to policymakers and analysts in fire protection and safety that would help in mitigating economic costs and saving lives.     

Media Effects on Group Collaboration: An Empirical Examination in an Ethical Decision‐Making Context

Even though it is widely acknowledged that collaboration underlies much of the decision‐making efforts in contemporary organizations, and that organizational groups are increasingly making decisions that have ethical implications, few studies have examined group ethical decision‐making processes and outcomes. In addition, while there is increasing evidence that groups often collaborate/communicate using different mediating technologies, few studies have examined the effect of the characteristics of the media in group ethical decision‐making contexts. Finally, there is a clear paucity of studies that have investigated group decision making pertaining to information technology (IT)‐related ethical dilemmas, an area of rising importance for information systems (IS) and decision science researchers. This article seeks to address the gaps described above through an experimental study where groups collaborating either in a face‐to‐face context or in a computer‐mediated context (using NetMeeting or Wiki) were required to make a decision with respect to a scenario with an IT‐related ethical dilemma. Results indicate that media characteristics (e.g., anonymity, immediacy of feedback, parallelism) do not have an effect on whether groups make ethical (or unethical) decisions. However, several media characteristics were found to play a significant role on downstream variables, such as the quality of a follow‐up task (i.e., creation of a decision justification document), and overall process satisfaction of the group members.     

New Media and Strategy Research: Towards a Relational Agency Approach

A rapidly growing body of literature focuses on the relationship between new media and strategy, and offers recommendations regarding appropriate strategic actions in relation to new media. This paper systematically reviews 130 articles with a focus on the diagnoses they provide and the directions they offer strategists regarding the role of new media in strategy. The analysis identifies four main ways of conceptualizing new media in the literature: as forces in an increasingly turbulent strategic environment; as changing the role of strategists; as tools for strategically engaging stakeholders; and as both increasing and decreasing the control necessary for strategy making. These conceptualizations are based on often‐implicit assumptions about ‘agency’ in strategy: new media are seen either as forces influencing strategy or as tools in the hands of humans, who are portrayed as the agents of strategy. In both cases, new media are black‐boxed, such that their specific properties and ways of becoming embedded in particular contexts are rarely examined. After discussing these assumptions and a limited number of studies that challenge them, the paper develops an approach to strategy and new media based on a relational understanding of agency, an attention to technological affordances and a methodological sensitivity to tracing strategy‐making assemblages of human and non‐human elements. We argue that future research based on this approach will advance our knowledge of strategy making in ways that do not take new media for granted and ways that are attentive to different kinds of agency.     

Board governance of Strategic Change: An assessment of the literature and avenues for future research

Boards of directors play a central role in governing corporate strategic change. We systematically review corporate governance research on strategic change published over the past 40 years, differentiating between strategic change types and board characteristics. We identify three developments: a focus on specific strategic change types, board composition and structure, and North American listed firms as a dominant study context. Yet, our analysis of the literature shows that research on board governance of interrelated strategic changes, on different board roles and behaviour, and on the governance of strategic changes across different contexts remains underdeveloped. To address these research gaps, we suggest three future research avenues: (1) examining how boards govern interrelated changes in a strategic change portfolio and its evolution over time; (2) studying the mediating relationship between board governance (particularly different board roles and behaviour), strategic changes, and corresponding outcomes; and (3) gaining a better understanding of the role of context in board governance of interrelated strategic changes. We contribute to corporate governance research by developing a framework that synthesizes extant research on the relationships between different board governance variables and strategic change types, highlights important research gaps, and outlines several future research directions to address these gaps. Our framework and literature overview serve as analytical tools to examine whether boards are well-designed and prepared to govern multiple and interrelated strategic changes.     

13 Ethical Decision Making: Where We’ve Been and Where We’re Going

Abstract

Research on ethical decision making, or behavioral ethics, in organizations has developed from a small niche area to a burgeoning stand‐alone field, one that has gained not only in number of articles written but in the legitimacy of the topic and the field. Our review motivated us to first try and summarize the field, not by comparing it to existing theoretical paradigms, but rather by observing what the data were telling us. We present our summary in the form of a model of ethical decision making and a typology that distinguishes intentionality of actions from ethicality of actions. After presenting this summary of the data, we critically review the research in this area, noting those areas which offer substantial insight and those that do not. In looking to the future and how the field can enhance the former and mitigate the latter, we identify several areas in which meaningful progress can be made, including defining what is “ethical”, revisiting unsubstantiated assumptions, focusing on the processes of ethical decision making, fixing methodological issues, and disentangling the outcomes of ethical decisions.     

A systematic literature review of mining weak signals and trends for corporate foresight

Due to the ever-growing amount of data, computer-aided methods and systems to detect weak signals and trends for corporate foresight are in increasing demand. To this day, many papers on this topic have been published. However, research so far has only dealt with specific aspects, but it has failed to provide a comprehensive overview of the research domain. In this paper, we conduct a systematic literature review to organize existing insights and knowledge. The 91 relevant papers, published between 1997 and 2017, are analyzed for their distribution over time and research outlets. Classifying them by their distinct properties, we study the data sources exploited and the data mining techniques applied. We also consider eight different purposes of analysis, namely weak signals and trends concerning political, economic, social and technological factors. The results of our systematic review show that the research domain has indeed been attracting growing attention over time. Furthermore, we observe a great variety of data mining and visualization techniques, and present insights on the efficacy and effectiveness of the data mining techniques applied. Our results reveal that a stronger emphasis on search strategies, data quality and automation is required to greatly reduce the human actor bias in the early stages of the corporate foresight process, thus supporting human experts more effectively in later stages such as strategic decision making and implementation. Moreover, systems for detecting weak signals and trends need to be able to learn and accumulate knowledge over time, attaining a holistic view on weak signals and trends, and incorporating multiple source types to provide a solid foundation for strategic decision making. The findings presented in this paper point to future research opportunities, and they can help practitioners decide which sources to exploit and which data mining techniques to apply when trying to detect weak signals and trends.     

The Influence of Top Management Teams in the Strategic Orientation and Performance of Small and Medium‐sized Enterprises

Identifying which factors affect firms' performance is a critical issue in strategic management research. This paper addresses the influence of managerial team over the behaviour and performance of small and medium‐sized enterprises (SMEs). By treating top management team (TMT) characteristics as predictors of a firm's strategic orientation, we seek to provide a more complete understanding of how the characteristics of managerial teams shape decision‐making processes and SMEs' behaviours in order to successfully compete in low munificent environments. Based on primary data regarding managerial characteristics and firms' behaviours of a sample of 295 SMEs, our results confirm that a firm's strategic orientation plays a mediating role in explaining how TMT characteristics determine SMEs' performance.     

Practical implications of the resource-based view

Managers use many decision making tools when developing a firm’s strategic direction. Ideally, such tools yield a good solution for an acceptable amount of application effort. This paper presents the results of an experimental research project that compares the effectiveness of a theory-based strategic decision making tool, theVRIO-framework, with two alternative decision making heuristics for predicting the stock-market performance of different companies. First, we assess how the predictions of theVRIO-framework contrast with decisions based on “gut feeling” using the forecasts derived from a recognition-based decision making tool, theRecognition Heuristic. Secondly, theVRIO-framework’spredictive power is compared to predictions derived fromAnalyst Ratings. Our results suggest that the predictions of theVRIO-framework are superior to those of theRecognition Heuristic and theAnalyst Ratings, supporting the practical usefulness of resource-based theory. We conclude that resource analysis is important to strategic decision making and discuss the implications of our findings for future research and management practice.