Production Competence and Business Strategy: Do They Affect Business Performance?

The purpose of this article is threefold. First, a comprehensive measure of production competence that assesses the level of support that manufacturing provides for the strategic objectives of a firm is developed. Second, hypotheses relating production competence to several financial measures of business performance are tested using data from a large sample of firms (n=65) in the furniture industry. Third, the impact of business strategy both directly on performance and as a moderating variable in relation to production competence is analyzed. The results of the study suggest that production competence may have more of an effect on business performance for certain strategies than for others.     

INTRODUCTION: SHAPING THE FUTURE OF MANUFACTURING AND SERVICE OPERATIONS

The challenges and opportunities in production and operations management (POM) are almost unlimited because in the world economy, manufacturing andservice operations account for more than 10 trillion dollars per year and in any single industry, the performance varies widely from country to country and from organization to organization. The goal of Production and Operations Management is to contribute to improving the management of manufacturing and service operations all over the world. The editors and reviewers judge the papers published in the journal for their contribution to improving of business practices and to further closeness between research and practice. The journal will publish high quality papers on a broad range of topics in POM, and it encourages all paradigms, old and new. We also invite managers from around the world to describe specific POM problems that provide challenging opportunities for academic research.     

Assessing the Construct Validity of Strategic and SIC‐Based Measures of Corporate Diversification

Several new methods of measuring corporate diversification have been developed since Rumelt's (1974) seminal work. These methods use varying criteria but they have not been backed up by construct validity. The present study investigates the content, convergent, discriminant, unidimensionality, and predictive validity by comparing 54 Fortune 500 companies on Rumelt's classification (self‐reported and calculated), entropy, Berry‐ Herfindahl index, and broad and mean narrow spectrum diversification measures. Results indicate only mild support for convergence, discriminant and predictive validity, and no evidence of unidimensionality amongst these measures. This raises problems in the measurement of diversification and subsequent relationships to performance linkages.     

A Theory of Production Competence Revisited*

A recent article [3] proposed a definable relationship between production competence and business performance and presented empirical evidence to support the relationship. The purpose of this note is four-fold. First, it corrects the authors' numerical measure of production competence. The correction changes the nature of the relationship between competence and performance. Second, this note suggests an improved numerical measure of business performance (the dependent variable in the study). The authors of [3] defined performance in a manner which inadvertently captures elements used to measure production competence (the independent variable). The result is a deceptively close fit of the authors' model with the data. The third purpose of the note is to introduce a more appropriate theoretical framework for the production competence construct. It is shown that production competence is closely related to the formulation and implementation of manufacturing strategy and can best be understood within that context. Last, an alternative conceptual model of the relationship between business strategy, production competence, and business performance is presented. The new model includes a construct which measures the “fit” of a firm's business strategy to its external, competitive environment.     

Construct validation in leadership research: Explication and illustration

The field of leadership typically employs constructs—variables that cannot be directly measured—in its research. Yet, our measures are rarely subjected to systematic assessment of their construct validity. This paper presents arguments about the importance of the construct validation process and illustrates why such concerns are well founded by examining the most commonly used measure of subordinate-perceived leader–member exchange, the LMX-7 scale. Using bakery workers (N = 379) and employed MBA students (N = 350), discriminant validity was investigated by exploratory factor analysis in the first sample, confirmatory factor analysis in the second sample, and correlation and multiple regression analysis in a subset of the second sample (N = 220). The results suggested poor subordinate LMX-7 discriminant validity and that subordinate LMX-7 scores were substantially predicted by measures of supportive leadership and supervisor satisfaction (R² = .71). Implications for future LMX theory and research are discussed as well as the types of construct validity evidence that we need to gather on our research instruments before and while they are employed in substantive studies of leadership phenomena.     

Measuring intrapreneurship at the individual level: Development and validation of the Employee Intrapreneurship Scale (EIS)

Although employees are recognized to be key for organizational new venture creation and strategic renewal (i.e., intrapreneurship), the current literature on intrapreneurship from an individual-level perspective is fragmented, and a valid measurement instrument is lacking. We address this gap and start with presenting a review of the current literature on employee intrapreneurship. Based on this review we define employee intrapreneurship as an agentic and strategic work behavior aimed at new venture creation and strategic renewal. Next, two studies are presented aimed at developing and validating a measurement instrument that captures employee venture behavior and strategic renewal behavior as two facets of employee intrapreneurship: the Employee Intrapreneurship Scale (EIS). In Study 1, the EIS was created and its factorial validity examined in three departments of a public organization (total N = 1,475). In Study 2, using a sample of private sector employees (N = 243), the convergent and discriminant validity of the EIS was tested using self-ratings of personal initiative, reward sensitivity, and punishment sensitivity, as well as their innovativeness and risk-taking behavior as rated by a close colleague. The results indicate that the Employee Intrapreneurship Scale is a valid and reliable instrument for capturing employee intrapreneurship in multiple contexts. Theoretical and practical implications are discussed.     

THE ROLE OF SUPPLY MANAGEMENT CAPABILITIES IN GREEN SUPPLY

Managers realize that they should avoid complex green supply initiatives when they do not have the capabilities to implement them. However, they have little guidance on how these capabilities can be developed. This paper provides an initial analysis of the role of supply management capabilities in green supply. We argue that the implementation of green supply is better explained by focusing on the development and deployment of an organization's specialized internal resources, rather than by the more usual focus on external environmental pressures on a firm. Further, we argue that capabilities appropriate for green supply are developed by a proactive corporate environmental stance and by a more strategic purchasing and supply management approach. We test our model using data from a two‐phase survey of 70 operating units within UK public limited companies. Our results indicate support for our conjecture that supply management capabilities are jointly developed by a proactive corporate environmental approach and a strategic purchasing and supply process. Our study results should be useful to business strategists, regulators, and researchers interested in the predictors of corporate green behavior. They should also assist future researchers in many branches of environmental management who are seeking to explore the role of the internal capabilities of firms in supporting environmental management.     

EXPLAINING PLANT-LEVEL DIFFERENCES IN MANUFACTURING OVERHEAD: STRUCTURAL AND EXECUTIONAL COST DRIVERS IN THE WORLD AUTO INDUSTRY

Using data from 62 automobile assembly plants worldwide, we examine the extent to which various structural cost drivers (plant scale, automation, and product mix complexity) and exe-cutionalcost drivers (product manufacturability, management policies, and production practices) account for plant-level differences in manufacturing overhead. Our analysis of structural drivers finds that overhead hours per vehicle are negatively associated with production volumes, consistent with economies of scale in overhead functions. However, automation appears to have little influence on overhead levels. Product mix complexity's effect on overhead requirements varies with the complexity's form and the plant's manufacturing capabilities. Option and parts complexity (measures of peripheral and intermediate product variety) both exhibit adverse effects on overhead, reflecting the considerable logistical, coordination, and supervisory challenges that accompany an increased number of parts and more complex manufacturing tasks. In contrast, model mix complexity (a measure of fundamental variety) appears to have little impact on direct or overhead labor requirements in auto assembly plants. Our analysis of executional drivers provides empirical support for the claim that advanced manufacturing practices such as the reduction of buffers, multiskilled production workers, and the use of teams can lower overhead costs. We also find preliminary evidence that the lower overhead costs in Japanese auto assembly plants are due primarily to the use of multiskilled work teams and the shifting of traditional overhead activities to production workers. Overall, our results indicate that manufacturing overhead is a function not only of the structural cost drivers that have dominated the academic literature but also of executional cost drivers that are harder to duplicate and therefore potentially more valuable for achieving competitive advantage.     

Enterprise Resource Planning (ERP) Competence Constructs: Two‐Stage Multi‐Item Scale Development and Validation*

This paper defines and operationalizes eight ERP competence constructs. We define ERP competence as a portfolio of managerial, technical and organizational skills and expertise posited as antecedents to improved business performance occurring after an ERP system is operational and functionally stable. To improve responses to changes in markets and products, manufacturers are increasingly adopting ERP systems. However, anecdotal accounts indicate that the realization of ERP's potential benefits is rare. Because of its pervasive influence on manufacturing and business performance, the need for scientifically developed and tested multi‐item scales pertaining to ERP competence is highly relevant to manufacturing strategy research. We follow a two‐stage normative process of scale development. First, we identify a portfolio of eight generic constructs that are hypothesized to be associated with successful ERP adoption. Each construct is then operationalized as a multi‐item measurement scale by applying a manual item sorting technique iteratively to independent panels of expert judges until tentative reliability and validity is established. Second, we further refine and validate the multi‐item scales using survey data from 79 North American manufacturing users of ERP systems.     

Entrepreneurial openness: Concept development and measure validation

This study introduces entrepreneurial openness as a construct that helps understanding the impact of entrepreneur's personality on small firm's performance. We draw from the entrepreneurship and positive psychology literature to conceptualize entrepreneurial openness as an individual-level positive personal cognitive strength that has three subdimensions: engaging in learning, searching for novelty, and seeking feedback. We validated the construct's structure in three consecutive studies: Study 1 provided initial empirical evidence in support of the proposed scale with a pilot sample of Slovenian business owners; Study 2 assessed the reliability and validity of the scale with a cross-cultural study in Canada, Slovenia, and USA; and Study 3 tested the scale for its impact on business performance and job satisfaction. Findings from our empirical studies demonstrate the utility of entrepreneurial openness in explaining firm's performance by showing strong reliability, appropriate dimensionality, convergent, discriminant, and nomological validity.     

COMPUTER INTEGRATION AND CATASTROPHIC PROCESS FAILURE IN FLEXIBLE PRODUCTION: AN EMPIRICAL INVESTIGATION

This paper empirically investigates the effect of advanced manufacturing technology on process stability during flexible production in a process industry. A sample of 61 North American fine paper plants is used to examine the relationship between the level of automation installed for controlling changes between paper grades and the incidence of paper web breaks. These web breaks are catastrophic failures; they require the entire plant to be stopped, reinitialized, and restarted. Because a large fraction of breaks occurs shortly after changeovers, they are an important determinant of the aspect of plant flexibility, called mobility, or the ability to move between products with only small penalties. In an attempt to ensure stable and mobile production, many plants have implemented changeover automation. We find, however, that higher levels of this automation are significantly associated with higher rates of catastrophic failure among the plants studied. We suggest that this finding becomes less paradoxical when considered in light of a recent stream of research on advanced manufacturing technologies, loosely called the usability perspective. According to this perspective, automation designed and implemented with the narrow, technical goal of replacing human operators or removing their discretion over a production process is misguided, especially in environments in which requirements are changing rapidly.     

EXPLORING THE LIMITS OF THE TECHNOLOGY S-CURVE. PART I: COMPONENT TECHNOLOGIES

The technology S-curve is a useful framework describing the substitution of new for old technologies at the industry level. In this paper I use information from the technological history of the disk drive industry to examine the usefulness of the S-curve framework for managers at the firm level in planning for new technology development. Because improvements in over-all disk drive product performance result from the interaction of improved component technologies and new architectural technologies, each of these must be monitored and managed. This paper focuses on component technology S-curves, and a subsequent paper, also published in this issue of the journal, examines architectural technology Scurves. Improvement in individual components followed S-curve patterns, but I show that the flattening of S-curves is a firm-specific, rather than uniform industry phenomenon. Lack of progress in conventional technologies may be the result, rather than the stimulus, of a forecast that the conventional technology is maturing, and some firms demonstrated the ability to wring far greater levels of performance from existing component technologies than other firms. Attacking entrant firms evidenced a distinct disadvantage versus incumbent firms in developing and using new component technologies. Firms pursuing aggressive Scurve switching strategies in component technology development gained no strategic advantage over firms whose strategies focused on extending the life of established component technologies.     

AN EMPIRICAL EXAMINATION OF THE UNDERLYING DIMENSIONS OF PURCHASING COMPETENCE

The importance of evaluating the effectiveness of the purchasing function in firms along multiple criteria has attracted considerable attention. However, few studies have identified the defining elements that constitute purchasing competence. This paper introduces the construct of purchasing competence using a second‐order factor structure derived from purchasing practices identified from the literature. The validity of the construct (purchasing competence) is tested using data from a sample of 179 firms. The results indicate (1) the construct validity of purchasing competence and (2) the predictive validity of purchasing competence, which has a significant positive influence on total quality management performance and customer satisfaction. The implications of these findings for additional research are discussed.     

竞争驱动战略转型的人力资本视线研究——以天津中小制造业企业为例

转型升级阵痛中的中国制造业企业，唯有基于人力资本"视线"实施差异化战略、推进激进式创新，才能变革成功，进而在激烈市场竞争中存活下来并形成核心竞争力。以天津市各大工业园区154家中小制造业企业的问卷调查数据为样本，采用结构方程模型对制造业企业创新逆驱战略转型的人力资本"视线"进行统计检验。结果显示，战略层面的"视线"有一个：外部环境竞争性、差异化战略、激进式创新与企业绩效。资源层面"视线"有两个：差异化战略、HRM系统、人力资本、渐进式创新、激进式创新与企业绩效；差异化战略、HRM系统、知识共享与企业绩效。这三条"视线"为中国制造业企业指明了战略转型、创新变革的具体方向。     

对服务销售中关系强度的研究--概念界定、量表开发与效度检验

尽管关系营销的主要目的之一是与顾客建立稳固的关系,但是直到最近人们才提出了"关系强度"的概念,而且其有效测度和验证的研究也十分少见.本文在相关理论回顾的基础上,对关系强度的概念进行了界定,并进而提出了关系强度的三维度模型,包括情感强度、认知强度和意动强度.然后,以服务销售为背景,本文开发并验证了用于测度关系强度的量表.实证分析结果表明,我们所开发的量表具有较好的信度水平、单维性、内敛效度与判别效度以及律则/学说效度.     

Chinese version of the OSI: A validation study

This article examines the construct validity of the Occupational Stress Indicator (OSI) in its Chinese version as well as its criterion-oriented validity against self-reported data on absenteeism and accidents, using a final sample of 1054 workers in the Chinese manufacturing and power industries. The divergent and convergent validities of five of the OSI scales—Job satisfaction, Physical ill-health, Mental ill-health, Type A behaviour and Control—were examined by a multimethod-multitrait matrix technique. Results indicated that the Chinese OSI had fairly good validity in relation to other well-established measures as well as relevant organizational behaviours.     

ASSESSING ENVIRONMENTAL SCANNING AT THE SUBUNIT LEVEL: A MULTITRAIT-MULTIMETHOD ANALYSIS*

Environmental scanning activities of over 400 top management subunits in 108 European manufacturing firms provided the data base for this research. Four traits (constructs) of scanning using three methods (interest, frequency, and time) were examined. A confirmatory factor analysis approach to multitrait-multimethod (MTMM) data was employed. Verification of the reliability as well as convergent and discriminant validity of the scanning scales are reported and discussed. The viability of confirmatory factor analysis in providing a precise analysis of partitioning variance according to trait, method, and error is demonstrated.     

DEVELOPING SOPHISTICATED QUALITY IMPROVEMENT APPROACHES THROUGH BUSINESS-ACADEME COLLABORATIONS: INTRODUCTION TO THE SPECIAL ISSUE

The pursuit of better performance has led to a number of business-academe collaborations. These collaborators have developed a number of sophisticated approaches that go far beyond such traditional simple methods as benchmarking against the best company, Ishikawa diagrams on feedback and control, Pareto diagrams, incentive systems based solely on output or quality, standard process control charts, and separate treatment of control charts and product inspection. The authors in this special issue report on approaches like benchmarking industrial performance through industry studies; the use of an artificial-intelligence statistical-tree growing method to analyze complex customer service data; an incentive system based on the total quality management (TQM) concepts of continuous improvement, teamwork, adaptation to change, and a focus on customer satisfaction; and integration of product inspection and process control. Because of the continuing widespread interest in TQM, there is an opportunity to take stock of how successful TQM initiatives have been and how we should consolidate and further extend the knowledge in TQM. Two of the papers report on the gap between what organizations espouse as TQM and what they actually implement and on the literature on TQM.     

Antecedents and performance outcomes of global competence: An empirical investigation

We examine the role of commitment to supply chain management (CSCM) and information technology (IT) in the achievement of global competence (GC). Through an empirical examination of 667 manufacturing business units in the U.S., we confirm the importance of global competence using two objective measures of firm performance. We investigate the direct effects of CSCM and experience with IT on performance, in addition to their indirect effects through global competence. We show global competence to be linked directly to objective measures of sales, and indirectly to return on assets (ROA). Despite manufacturers’ hefty investments in IT, we find that experience with IT does not drive ROA directly, but only indirectly through global competence and sales.     

Cautions on the Use of the SERVQUAL Measure to Assess the Quality of Information Systems Services

The SERVQUAL questionnaire (Parasuraman, Zeithaml, & Berry, 1988) is one of the preeminent instruments for measuring the quality of services as perceived by the customer. In a recent Decision Sciences article, Kettinger and Lee (1995) suggested the use of a modified SERVQUAL instrument to assess the quality of the services supplied by an information services provider. However, a number of problems with the SERVQUAL instrument are discussed in the literature. This article provides an illustrative example utilizing data collected from 138 executive and information systems professional customers of a multibillion dollar information services provider in order to examine the validity and reliability of Kettinger and Lee's (1995) modified SERVQUAL instrument. Results of analyses do not confirm the findings of Kettinger and Lee. Moreover, it appears that the use of difference scores in calculating SERVQUAL contributes to problems with the reliability, discriminant validity, convergent validity, and predictive validity of the measure. These findings suggest that caution should be exercised in the use of SERVQUAL scores and that further work is needed in the development of measures for assessing the quality of information services.