Complementary Drivers of New Product Development Performance: Cross‐Functional Coordination,Information System Capability,and Intelligence Quality

Coordination efforts that access and align relevant cross‐functional expertise are regarded as an essential element of innovation success. In recent years, these efforts have been further augmented through complementary investments in information systems, which provide the technological platforms for information sharing and coordination across functional and organizational boundaries. Somewhat overlooked has been the critical mediating role of the intelligence gained through these efforts and capabilities. This study draws on the theory of complementarity to elaborate on the nature of this mediating concept. Theoretical predictions of the model are tested using instrument variable regression analysis of data collected from a sample of publicly traded US manufacturing firms. The findings suggest that the effects of both internal and external coordination on market intelligence and supply‐chain intelligence are moderated by the firm's information system capability. The effect of both types of intelligence quality on new product development performance was contingent with the effects being enhanced (attenuated) when the market conditions were dynamic (stable). The results are robust to common‐method bias, endogeneity concerns, and alternative estimation methods.     

The Impact of E‐Replenishment Strategy on Make‐to‐Order Supply Chain Performance

This research investigates the impact of electronic replenishment strategy on the operational activities and performance of a two‐stage make‐to‐order supply chain. We develop simulation‐based rolling schedule procedures that link the replenishment processes of the channel members and apply them in an experimental analysis to study manual, semi‐automated, and fully automated e‐replenishment strategies in decentralized and coordinated decision‐making supply chain structures. The average operational cost reductions for moving from a manual‐based system to a fully automated system are 19.6, 29.5, and 12.5%, respectively, for traditional decentralized, decentralized with information sharing, and coordinated supply chain structures. The savings are neither equally distributed among participants, nor consistent across supply chain structures. As expected, for the fully coordinated system, total costs monotonically decrease with higher levels of automation. However, for the two decentralized structures, under which most firms operate today, counter‐intuitive findings reveal that the unilateral application of e‐procurement technology by the buyer may lower his purchasing costs, but increase the seller's and system's costs. The exact nature of the relationship is determined by the channel's operational flexibility. Broader results indicate that while the potential economic benefit of e‐replenishment in a decentralized system is substantial, greater operational improvements maybe possible through supply chain coordination.     

The Impact of Information Sharing on Supply Chain Performance under Asymmetric Information

The use of screening contracts is a common approach to solve supply chain coordination problems under asymmetric information. One main assumption in this context is that managers without specific incentives would rather use their private information strategically than reveal it truthfully. This harms supply chain performance. This study investigates the impact of information sharing in a principal‐agent setting that is typical for many supply chain transactions. We conduct a laboratory experiment to test whether information sharing has an influence on supply chain coordination. We find that information sharing within the supply chain has two positive effects. First, information sharing reduces the inefficiencies resulting from information deficits if there is a certain amount of trust in the supply chain. Second, communication can limit out‐of‐equilibrium behavior with a small impact on the firm's own payoff, but a large impact on the supply chain partner. Furthermore, we find that both effects are amplified when communication takes place in an environment that allows the less informed supply chain party to punish or to reward the better informed party. Although our extended mechanisms substantially enhance the poor performance of the theoretically optimal coordination contract menu, we find no mechanism that implements supply chain performance superior to the theoretically predicted second‐best level.     

供应链协同与信息共享的关联研究

将协同分成管理协同、技术协同与人机协同3类。据此定义了供应链协同,分析了信息共享在不同条件下存在的价值差异,探讨了供应链协同与信息共享的内在关联。研究结果表明,信息共享是供应链协同实现的必要但不充分条件。在某些条件下,信息共享并不能解决供应链中的协同问题,相反还可能增大协同工作量。要避免这种情况发生,提前进行合理的信息共享设计是必须的。     

信息共享与协同合作对两级供应链的收益影响

研究了由一个供应商和一个制造商组成的按订单生产的2级供应链系统。用数学的方法分析了信息共享与协同合作在供应商与制造商的不同策略组合下对该供应链收益的影响。通过具体算例对各种策略进行实验分析,并根据实验结果对信息共享与协调合作在各种策略中,对供应链各成员及整个供应链的收益影响进行评估。结果表明,供应链从传统模式转向完全信息共享与协同合作模式,制造商的订货次数、供应商的调整准备次数以及运输次数都大大减少,系统总成本降低了22.76%。信息共享能够降低成本,但主要收益来自系统的协调决策,而且这些收益并不是均匀地在各成员间进行分配的,而是随策略的不同而不同。     

A Newsvendor Problem with Revenue Sharing and Channel Coordination*

Increasingly manufacturers and retailers are implementing revenue‐sharing policies to coordinate distribution channels more effectively. This article considers a standard newsvendor problem in a single manufacturer–retailer channel and compares the expected profits that each party receives in a traditional ordering environment with those that can be achieved under a revenue‐sharing policy designed to completely eliminate double marginalization. It is shown that the retailer always benefits from the transition to revenue sharing by capturing a portion of the incremental channel profit generated by the complete elimination of double marginalization. A necessary demand‐distribution‐dependent condition is derived under which the transition to revenue sharing benefits the manufacturer as well. The findings of this research are illustrated in a numerical example for the uniform demand distribution.     

Value of Sharing Production Yield Information in a Serial Supply Chain

New developments in corporate information technology such as enterprise resource planning systems have significantly increased the flow of information among members of supply chains. However, the benefits of sharing information can vary depending on the supply chain structure and its operational characteristics. Most of the existing research has studied the impact of sharing downstream information (e.g., a manufacturer sharing information with its suppliers). We evaluate the benefits of sharing upstream yield information (e.g., a supplier sharing information with the manufacturer) in a two‐stage serial supply chain in which the supplier has multiple internal processes and is faced with uncertain output due to yield losses. We are interested in determining when the sharing of the supplier's information is most beneficial to the manufacturer. After proposing an order‐up‐to type heuristic policy, we perform a detailed computational study and observe that this information is most beneficial when the supplier's yield variance is high and when end‐customer demand variance is low. We also find that the manufacturer's backorder‐to‐holding cost ratio has little, if any, impact on the usefulness of information.     

A Purchasing Framework for B2B Pricing Decisions and Risk‐sharing in Supply Chains*

This paper presents a common modelling structure for (i) the implementation of operational policies by individual purchasing managers of risk‐sharing agreements among supply‐chain partners, and (ii) the integration of brick and click purchasing policies in a B2B. The problem of price uncertainty created within these two environments is modelled as a stochastic repetitive‐sales problem, applicable to any probability distribution. The model identifies sufficient conditions for regenerative ordering cycles, which allows for the use of the renewal reward theorem. The end result is a two‐price purchasing policy, which may substantially ease implementation problems across a global corporation's purchasing managers world‐wide and across B2B markets.     

Customer Learning Processes,Strategy Selection,and Performance in Business‐to‐Business Service Firms*

Learning about customers takes place through relevant dialogues with those customers, also known as customer relationship management (CRM). As relationships develop, information about the customer is gathered in the firm's customer information systems (CIS): the content, processes, and assets associated with gathering and moving customer information throughout the firm. This research develops a measure of CIS management capabilities based on learning organization theory and measured by the ability to get, store, move, and use information throughout the business unit. This measure is then used to analyze customer learning processes and associated performance in the context of marketing strategic decision making. This study of 209 business services firms finds that generic marketing strategy positioning (low‐cost and differentiation) and the marketing tactics of personalization and customization are related to CIS development. Customer information systems development in turn is associated with higher levels of customer‐based performance, which in turn is associated with increased business growth. Since the strongest association with customer‐based performance is strategy selection, the long‐term benefits of the knowledge gained from the CIS may be in the ability to assist in measuring customer‐based performance, rather than in the ability to immediately contribute to performance. Finally, for these firms, customization and personalization are not directly associated with performance and thus may not be necessary to support every firm's marketing strategy.     

The Role of Industry Studies and Public Policies in Production and Operations Management

The research domain Industry Studies and Public Policy (IS&PP) seeks to further our understanding of industrial practices and managerial challenges by explicitly considering contextual details in the design and interpretation of research studies. These details can be vital considerations when shaping public policies. This article reviews a sample of IS&PP publications and analyzes the content of 180 selected papers—85 papers published in the Production and Operations Management (POM) journal and 95 papers published in related journals between 1992 and 2014. Our analysis of the sample dataset and examination of exemplar papers provide four findings. First, studies in different industries emphasize different themes of operational decisions. This difference in emphasis reveals potential research opportunities, especially for conducting inter‐industry studies. Second, our analysis reveals a shift in focus over time. Earlier studies contain a mix of benchmarks and inter‐industry comparisons, while later studies tend to be context‐specific, intra‐industry studies. Third, we report on empirics → analytics → empirics cycles that reveal gaps for building novel theories. Finally, we observe that the relationship between POM decisions and public policy is bi‐directional. This highlights the need to jointly examine operational decisions with policy considerations, especially in information goods, healthcare, sustainable operations and high‐tech manufacturing industries.     

Durability,Transit Lags,and Optimality of Inventory Management Decisions

Two laboratory experiments on a single‐echelon inventory task show that inventory durability interacts with transit lags to create order volatility that exceeds demand volatility. Thus, inventory durability and transit lags cause managers to deviate from inventory decision optimality. Durability creates a large increase in order volatility because players adjust orders insufficiently to reflect current inventory and backlogs, much as they adjust orders insufficiently to reflect holding and backlog costs in newsvendor studies (e.g., Schweitzer and Cachon 2000). Transit lags exacerbate non‐optimal ordering by interfering with players' ability to correct prior errors. Our results suggest that non‐optimal inventory decisions can be driven by inventory and supply chain characteristics, even in the absence of the coordination and information sharing problems studied by Croson et al. (2005) and Sterman (1989a,b). We also examine the influence of features related to personality. We find little evidence that the interactive effects of durability and transit lags are altered by need for cognition, impulsiveness, or locus of control, suggesting that these features make supply chain management extremely difficult. These results imply that retailers and their upstream partners must consider the characteristics of their product and supply chains when interpreting demand signals received from downstream partners.     

Small Business Social Responsibility: A Critical Multilevel Review,Synthesis and Research Agenda

Small‐business social responsibility (SBSR) related research is rapidly increasing in quantity, but is found in divergent literatures and disciplines. It is time to offer a comprehensive review that identifies, synthesizes and integrates previous research, and highlights the knowledge gaps and the way forward. This methodical search of the literature helped to identify 115 multidisciplinary peer‐reviewed academic articles appearing in high‐quality journals over the 1970–2016 period. Using a systematic and in‐depth content analysis technique, the authors reviewed the articles and identified the theories used, the national contextual focus and the methodological orientations in these articles. They also identified the predictors, outcomes, mediators and moderators of SBSR at the institutional, organizational and individual levels of analysis. This review helps to identify significant knowledge gaps in terms of the theoretical orientation, the national contextual focus, the core content under study, and the methods used. The authors offer numerous suggestions across these topics to help address the knowledge gaps and raise important questions for future research. The primary contributions of this paper are: delineating and summarizing a multilevel analysis of an emerging literature on SBSR; integrating contributions from a wide range of management disciplines and geographical contexts; extracting the potential theoretical contributions in this field; and informing directions for future research. The authors propose a research agenda that is theoretically relevant and innovative, and call for context‐ and size‐aware research on SBSR, using small‐business‐specific methodologies and measurements.     

Coordination in supply chains: an evaluation using fuzzy logic

Supply chain coordination (SCC) is an effective approach to improve supply chain (SC) performance. The coordination can be achieved when interdependent entities work together by sharing resources and information to achieve common objectives aligned to maximise customer value for the entire SC. There are a number of mechanisms by which the SC members can coordinate, e.g. contracts, information sharing, information technology and collaborative initiatives. To communicate frequently and effectively, the partners are required to have good information systems and capability to share information. To coordinate with each other the SC members are required to have capabilities to implement coordination mechanisms effectively. In this paper, a model is proposed to measure the effect of these mechanisms on the extent of coordination. Currently, there is no scale of measurement reported in the literature to measure the SCC. A fuzzy logic approach combined with the analytic hierarchy process (AHP) is proposed to evaluate the extent of coordination. The proposed methodology is demonstrated through a case study of an automotive parts manufacturer.     

The Bullwhip Effect—Impact of Stochastic Lead Time,Information Quality,and Information Sharing: A Simulation Study

We use a simulation model called ‘SISCO’ to examine the effects in supply chains of stochastic lead times and of information sharing and quality of that information in a periodic order‐up‐to level inventory system. We test the accuracy of the simulation by verifying the results in Chen et al. (2000a) and Dejonckheere et al. (2004). We find that lead‐time variability exacerbates variance amplification in a supply chain, and that information sharing and information quality are highly significant. For example, using the assumptions in Chen et al. (2000a) and Dejonckheere et al. (2004), we find in a numerical experiment of a customer‐retailer‐wholesaler‐distributor‐factory supply chain that variance amplification is attenuated by nearly 50 percent at the factory due to information sharing. Other assumptions we make are based on interviews or conversations with managers at large supply chains.     

信息共享程度对物流外包激励契约的影响

本文分析了由供应商、制造商和第三方物流企业(3PLs)组成的物流外包系统,考虑了供应商和制造商信息共享程度的影响,建立了协同工作环境下的激励契约模型.结果表明,委托人偏好低努力水平时,信息共享对激励契约没有影响;委托人偏好高努力水平时,信息共享能更好的激励代理人选择委托人希望的行动.信息不共享时,3PLs只有提高对供应商努力水平的积极性;信息共享时,3PLs收入波动性增大,提高对供应商和对制造商的努力水平都能使其获得帕累托改进.本研究为物流成本在供应链成员中的分摊提供了理论依据,并提出了模型改进和研究建议.     

A GENERAL APPROACH FOR COORDINATING PRODUCTION IN MULTIPLE-CELL MANUFACTURING SYSTEMS

We introduce a general approach to the coordination and control of material and information flow in multiple cell manufacturing systems. This approach uses production authorization cards (called PAC system) and generalizes such well-known approaches as MRP (material requirements planning), KANBAN (japanese card system), OPT (optimized production technology), BSS (base. stock system), IC (integral control), CONWIP (constant work-in-process), and others. It provides a framework for developing coordination and control mechanisms that combine the desirable features of more than one of these traditional approaches. The coordination is achieved by the rules that determine when and how material and information flow through the system and by the appropriate choice of the parameters of these rules. We also discuss various models of the PAC system that can be used to gain insight into the impact of the choices of the parameters. Directions for future research in this area is also outlined.     

供应链信息管理研究现状及展望

供应链信息管理问题已涉及的研究范围包括供应链上信息流特点的研究,信息分类的研究,牛鞭效应的存在、成因及弱化措施的研究,牛鞭效应以外的其它类型信息失真的研究,由信息失真引起的信息风险问题的研究,以及利用信息共享相关技术支持解决信息管理问题的研究等。对供应链上的信息分类、信息失真、信息风险和信息共享等信息管理问题的国内外研究成果进行了全面的回顾和总结。通过对供应链上信息管理问题的研究方法进行的分析和总结,针对供应链中普遍存在的信息管理问题指出了进一步研究的方向。     

RISK SHARING,COMMITMENT, AND INFORMATION: AN EXPERIMENTAL ANALYSIS

This paper describes and analyzes the results of a unique field experiment especially designed to test the effects of the level of commitment and information available to individuals when sharing risk. We find that limiting exogenously provided commitmentis associated with less risk sharing, whereas limiting information on defections can be associated with more risk sharing. These results can be understood by distinguishing between intrinsic and extrinsic incentives, and by recognizing that social sanctions are costly to inflict or that individuals suffer from time‐inconsistent preferences. Comparing the groups formed within our experiment with the real life risk‐sharing networks in a few villages allows us to test the external validity of our experiment and suggests that the results are salient to our understanding of risk‐sharing arrangements observed in developing countries. (JEL: C93, D71, D81, O12)