A framework for strategic planning in multinational corporations

In this article the author describes how the adaptation and integration requirements of several corporations within the multinational environment were analyzed. A pattern of planning tasks for multinationals is then described which simplified planning while utilizing further task specialization.     

Task Trade Between Similar Countries

We propose a theory of task trade between countries that have similar relative factor endowments and technological capabilities, but may differ in size. Firms produce differentiated goods by performing a continuum of tasks, each of which generates local spillovers. Tasks can be performed at home or abroad, but offshoring entails costs that vary by task. In equilibrium, the tasks with the highest offshoring costs may not be traded. Among the remainder, those with the relatively higher offshoring costs are performed in the country that has the higher wage and the higher aggregate output. We discuss the relationship between equilibrium wages, equilibrium outputs, and relative country size.     

Specialization, implicit coordination and organizational performance: trading off common and idiosyncratic knowledge

This paper reconsiders the trade-off between specialization and coordination by focusing on as yet neglected forms of implicit coordination. While specialization draws on idiosyncratic knowledge pertaining to the worker’s specific tasks and environment, implicit coordination is based on knowledge common to all workers. Accordingly, the trade-off between specialization and coordination translates into one between idiosyncratic and common knowledge. Investigating this trade-off I determine the organization’s optimal knowledge structure depending on a number of organizational and environmental parameters. Further extensions of the model allow for explicit coordination through communication, differentiate between common knowledge at the corporate level and departmental level, and apply important results to the issue of corporate culture, interpreted as a specific form of common knowledge that likewise facilitates implicit coordination.     

Combinatorial Optimization in Real-Time Scheduling: Theory and Algorithms

Real-time computer systems are essential for many applications, such as robot control, avionics, medical instrumentation, manufacturing, etc. The correctness of the system depends on the temporal correctness as well as the functional correctness of the task executions. In order to assure temporal correctness it is necessary that the resources be scheduled to meet the temporal requirements of applications. When we consider the problem of nonpreemptive scheduling of a set of tasks in a processor for which no feasible solution exists, some tasks may have to be rejected so that a schedule can be generated for the rest. In this paper, we consider the problem of generating an optimal schedule such that the number of rejected tasks is minimized, and then the finish time is minimized for the accepted tasks. We propose to use an analytic approach to solve this problem. We first discuss the super sequence based technique which was originally proposed for reducing the search space in testing the feasibility of a task set. Then we show by the Conformation theorem that the super sequence constructed from the task set also provides a valid and reduced search space for the optimization problem. While the complexity of our scheduling algorithm in the worst case remains exponential, our simulation results show that the cost is reasonable for the average case.     

Power and trust in board–CEO relationships

In this paper we develop and test a theoretical model that reduces relational risks to solve the puzzle of conflicting task requirements imposed on boards of directors in listed companies. Doing so unites two seemingly conflicting tasks—board control and service tasks—through examining relational risks between the board and the CEO. We also present two mechanisms that could reduce relational risks. One is board power over the CEO, and the other board trust in the CEO. Practitioners could apply these two mechanisms to achieve better performance of board control and service tasks simultaneously. We test hypotheses using 441 survey responses collected in 2005. The result shows a good fit between the model and survey data, indicating examining relational risks is a rewarding approach to understanding conflicting board task performance, and board control over the CEO and board trust in the CEO are two effective mechanisms to reduce relational risks.     

Structure and the Performance of Public Organizations: Task Difficulty and Span of Control

Scholars of public organizations have long been interested in understanding how organizational structures shape organizational performance. This is an important question because if links between structure and performance exist, then manipulating organizational structures may lead to improvements in organizational performance. This study examines how one structural attribute, span of control, shapes performance in a large set of public organizations. Specifically, our focus is on how structure shapes performance when task difficulty varies. We hypothesize that structural attributes such as spans of control have limited effects on performance when organizations address very easy or very difficult tasks. When organizations address moderately difficult tasks, the impact of structure on performance should be greatest. Our analysis of 678 school districts in Texas covering the years 1994 to 1997 reveals that span of control variables have the greatest impact on student performance under moderately difficult task scenarios.     

Changing Less-Preferred Duties to More-Preferred: A Potential Strategy for Improving Supervisor Work Enjoyment

We evaluated a strategy for making highly nonpreferred work duties more preferred as a potential means of enhancing work enjoyment among supervisors in a human service setting. Repeated preference ratings and rankings were completed by 4 supervisors during baseline to identify their most disliked work tasks. These tasks were then altered by soliciting each supervisor's opinion regarding why the respective task was so disliked and what could be done to make the task more preferable, removing disliked stimuli associated with the tasks, and adding liked stimuli during completion of the tasks. Following the task alterations, ratings of task likeability increased for all 4 supervisors. Preference rankings of target tasks also increased, including from rankings as among the least preferred tasks to among the most preferred tasks. All supervisors rated the task-alteration process as making their quality of work life better, and all chose to continue the intervention. These results occurred without any observed decrease in work quality. Results are discussed regarding the potential contribution of behavioral interventions with subjective concepts, such as enjoyment, that are viewed as important by the general populace. However, qualifications with relying on verbal reports also are noted.     

Customer complementarity in the digital space: Exploring Amazon’s business model diversification

In spite of the striking evidence that many firms run multiple business models, scholars and practitioners still lack a comprehensive understanding about business model portfolio dynamics, particularly when this happens in the digital space. Prior research on business model diversification tends to focus on supply-side complementarities, such as a firm's synergies among resources and capabilities. Yet, the demand-side with its customer complementarities remains theoretically and empirically underexplored, despite offering interesting opportunities for firms' competitive advantage. By developing a qualitative, longitudinal (1995–2018) analysis of the various business models developed by Amazon.com, we identify and map how customer complementarities—network effects and one-stop shop effects—can support firm growth and competitive advantage, particularly in the digital space. We identify what we term the ‘integrative business model,’ defined as the business model in a portfolio exhibiting the most (predominantly positive) customer complementarities with other business models. We propose mechanisms for the integrative business model to contribute to sustainable competitive advantage via a causal loop diagram and discuss implications for theory and practice.     

交互记忆系统影响人群与工作交互的模拟研究

为探索交互记忆系统对知识型团队中人群与工作互动的影响,交互记忆系统通过基于多智能体建模被引入到模拟研究中.用互动网络模型描述任务、个体、技能的复杂联系.用交互记忆系统中任务执行、沟通、学习规则驱动此模型,考虑经济型和社会型两种智能体在交互时受环境因素的不同影响,设计通过数据库作为中间介质的人-物并行机制,并采用甘特图描述物系统中的任务计划和任务分配.用Repast和Java swing实现模拟系统,并用定性验证的方法确认该系统的可信性,最后给出一个应用分析.模拟实验研究表明,交互记忆系统可以提高任务完成质量,并缩减任务完成时间;一个团队在完成任务时并不是参与人越多越好,人在足够满足任务完成需要的情况下与工作有效交互可以发挥较高的效率.     

协同工作下角色-任务匹配与互动多智能体模拟研究

利用多智能体模拟方法对角色-任务匹配和互动关系进行研究,构建基于Agent的角色-任务匹配的多目标评价模型,并设计最小匹配度和最大匹配度两种匹配度算法,基于Repast,在Eclipse上用Java实现角色-任务互动模拟系统.模拟实验结果表明,与最大匹配度算法相比,最小匹配度算法能减少任务接口通讯费,有效提高员工能力利用率,最大化完成任务.该算法能较好地用于协同工作环境下角色任务分配,增加学习率,有助于员工能力增长;在一定的协同学习率下,任务量越饱和,员工各项能力提高程度越大;任务的能力需求期望变化小于方差变化时体现的动态性与能力增长负相关,而任务的能力需求期望变化大于方差变化时体现的动态性与能力增长正相关.     

A new two-party bargaining mechanism

If resources and facilities from different partners need to be engaged for a large-scale project with a huge number of tasks, any of which is indivisible, decision on the number of tasks assigned to any collaborating partner often requires a certain amount of coordination and bargaining among these partners so that the ultimate task allocation can be accepted by any partner in a business union for the project. In the current global financial crisis, such cases may appear frequently. In this paper, we first investigate the behavior of such a discrete bargaining model often faced by service-based organizations. In particular, we address the general situation of two partners, where the finite Pareto efficient (profit allocation) set does not possess any convenient assumption for deriving a bargaining solution, namely a final profit allocation (corresponding to a task assignment) acceptable to both partners. We show that it is not appropriate for our discrete bargaining model to offer the union only one profit allocation. Modifying the original optimization problem used to derive the Nash Bargaining Solution (NBS), we develop a bargaining mechanism and define a related bargaining solution set to fulfil one type of needs on balance between profit-earning efficiency and profit-earning fairness. We then show that our mechanism can also suit both Nash’s original concave bargaining model and its continuous extension without the concavity of Pareto efficient frontier on profit allocation.     

On Decisions for Integration Implementation: An Examination of Complementarities Between Product‐Process Technology Integration and Supply Chain Integration

Research has shown that both product‐process technology (PPT) integration and supply chain integration efforts produce operational benefits, yet synergies between these types of integration are not well understood. This article empirically examines strategic customer integration and supplier integration as complementary activities for PPT integration, with the aim of helping manufacturing plant managers to intelligently implement mutually supportive types of integration. We set two conditions for establishing complementarity: (i) one type of strategic integration must positively influence the adoption of another and (ii) the two types of strategic integration must exhibit a synergistic fit with respect to manufacturing plant capabilities. We test these conditions using survey results representing 224 manufacturing plants. The findings show positive complementarities between PPT integration and supplier integration with respect to quality, delivery, and process flexibility. Also, positive complementarities exist between PPT integration and customer integration with respect to quality and new product flexibility. The results extend the emerging theory of strategic value chain integration and provide guidance to manufacturing managers who wish to assemble strategic integration policies.     

The Impact of a Task Clarification and Feedback Intervention on Restaurant Service Quality

Customer service is a key aspect of restaurant success, as performance has shown a reliable positive relationship with customer retention. However, waitstaff performance may deteriorate, as income from gratuities is often unrelated to service quality. The present study investigated the effectiveness of an intervention consisting of task clarification and task-specific feedback on restaurant service tasks and observed the relationship between task completion and gratuities. Three adult women servers participated during their regular working shifts at a local dine-in restaurant. Initially customer service task completion was low (36% on average across participants). Performance increased immediately following the introduction of the intervention, and all participants maintained 87.5%–100% task completion. Correlational analyses found that gratuities were unrelated to performance and may thus pose a problem for performance maintenance. Implications relating to feedback and payment schedules are discussed.     

Managing Enterprise Risks of Technological Systems: An Exploratory Empirical Analysis of Vulnerability Characteristics as Drivers of Exploit Publication*

Enterprises experience opportunistic exploits targeted at vulnerable technology. Vulnerabilities in software‐based applications, service systems, enterprise platforms, and supply chains are discovered and disclosed on an alarmingly regular basis. A necessary enterprise risk management task concerns identifying and patching vulnerabilities. Yet it is a costly affair to develop and deploy patches to alleviate risk and prevent damage from exploit attacks. Given the limited resources available, technology producers and users must identify priorities for such tasks. When not overlooked, vulnerability‐patching tasks often are prioritized based on vulnerability disclosure dates, thus vulnerabilities disclosed earlier usually have patches developed and deployed earlier. We suggest priorities also should focus on time‐dependent likelihoods of exploits getting published. We analyze data on software exploits to identify factors associated with the duration between a vulnerability discovery date and the date when an exploit is publicly available, a time window for patching before exploit attack levels may escalate. Actively prioritizing vulnerability patching based on likelihoods of exploit publication may help lessen losses due to exploit attacks. Technology managers might apply the insights to better estimate relative risk levels, and better prioritize protection efforts toward vulnerabilities having higher risk of earlier exploitation.     

Skill Complementarities and Migration Decisions

This paper offers an explanation of the high mobility of skilled workers based on human capital complementarities. If the skill premium is increasing in the average level of human capital of a location, and there exist fixed migration costs, in equilibrium the more skilled the workers are, the stronger the economic incentives to migrate towards the richest regions will be. Moreover, endogenously generated differences in productivity due to migration affect occupational choices and regional specialization. Empirical evidence consistent with the proposed explanation is provided using data on Italian regions. It emerges that, even after controlling for economic conditions, a high population share of individuals who completed college or high‐school in a region seems to be a relevant pull factor for the most educated migrants. In contrast, the importance of this variable, which measures the average level of human capital of a location, drops when unskilled migrants are considered. Finally, the effects of migration on the evolution of regional disparities are taken into account.     

Improving Staff Performance through the Use of Task Checklists

Analysis of a checklist system suggested that it may be a useful method of improving staff performance. Three features were considered important components of a checklist system: task definitions, recording responses on checklists, and periodic supervisor review. A checklist system incorporating these features was developed for an administrative staff in a large instructional system. A multiple-baseline across-subjects design and one reversal were used with three small groups of front-line staff, whose task completion was determined by permanent products left by the tasks. The percent of tasks completed improved by 28.8% when the checklist system was in effect. This study indicated that checklists may be a worthwhile method of managing worker performance.     

Illegitimate tasks as a source of work stress

Illegitimate tasks represent a task-level stressor derived from role and justice theories within the framework of “Stress-as–Offense-to-Self” (SOS; Semmer, Jacobshagen, Meier, & Elfering, 2007). Tasks are illegitimate if they violate norms about what an employee can properly be expected to do, because they are perceived as unnecessary or unreasonable; they imply a threat to one's professional identity. We report three studies testing associations between illegitimate tasks and well-being/strain. In two cross-sectional studies, illegitimate tasks predicted low self-esteem, feelings of resentment towards one's organization and burnout, controlling for role conflict, distributive injustice and social stressors in Study 1, and for distributive and procedural/interactional justice in Study 2. In Study 3, illegitimate tasks predicted two strain variables (feelings of resentment towards one's organization and irritability) over a period of two months, controlling for initial values of strain. Results confirm the unique contribution of illegitimate tasks to well-being and strain, beyond the effects of other predictors. Moreover, Study 3 demonstrated that illegitimate tasks predicted strain, rather than being predicted by it. We therefore conclude that illegitimate tasks represent an aspect of job design that deserves more attention, both in research and in decisions about task assignments.     

Priority Rules for Multi‐Task Due‐Date Scheduling under Varying Processing Costs

We study the scheduling of multiple tasks under varying processing costs and derive a priority rule for optimal scheduling policies. Each task has a due date, and a non‐completion penalty cost is incurred if the task is not completely processed before its due date. We assume that the task arrival process is stochastic and the processing rate is capacitated. Our work is motivated by both traditional and emerging application domains, such as construction industry and freelance consulting industry. We establish the optimality of Shorter Slack time and Longer remaining Processing time (SSLP) principle that determines the priority among active tasks. Based on the derived structural properties, we also propose an effective cost‐balancing heuristic policy and demonstrate the efficacy of the proposed policy through extensive numerical experiments. We believe our results provide operators/managers valuable insights on how to devise effective service scheduling policies under varying costs.     

Cognitive Fit: A Theory-Based Analysis of the Graphs Versus Tables Literature*

A considerable amount of research has been conducted over a long period of time into the effects of graphical and tabular representations on decision-making performance. To date, however, the literature appears to have arrived at few conclusions with regard to the performance of the two representations. This paper addresses these issues by presenting a theory, based on information processing theory, to explain under what circumstances one representation outperforms the other. The fundamental aspects of the theory are: (1) although graphical and tabular representations may contain the same information, they present that information in fundamentally different ways; graphical representations emphasize spatial information, while tables emphasize symbolic information; (2) tasks can be divided into two types, spatial and symbolic, based on the type of information that facilitates their solution; (3) performance on a task will be enhanced when there is a cognitive fit (match) between the information emphasized in the representation type and that required by the task type; that is, when graphs support spatial tasks and when tables support symbolic tasks; (4) the processes or strategies problem solvers use are the crucial elements of cognitive fit since they provide the link between representation and task; the processes identified here are perceptual and analytical; (5) so long as there is a complete fit of representation, processes, and task type, each representation will lead to both quicker and more accurate problem solving. The theory is validated by its success in explaining the results of published studies that examine the performance of graphical and tabular representations in decision making.     

Team incentives,task assignment,and performance: A field experiment

The performance of a work team commonly depends on the effort exerted by the team members as well as on the division of tasks among them. However, when leaders assign tasks to team members, performance is usually not the only consideration. Favouritism, employees' seniority, employees' preferences over tasks, and fairness considerations often play a role as well. Team incentives have the potential to curtail the role of these factors in favor of performance — in particular when the incentive plan includes both the leader and the team members. This paper presents the results of a field experiment designed to study the effects of such team incentives on task assignment and performance. We introduce team incentives in a random subsets of 108 stores of a Dutch retail chain. We find no effect of the incentive, neither on task assignment nor on performance.