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This paper describes and explores an emerging integrated measure of effectiveness for human resource management functions. The emerging measure basically incorporates both the mission support and employee support goals as two criteria of effectiveness. The paper next analyzes the measures of effectiveness that an agency uses for its performance appraisal function. A questionnaire was sent to 298 members of the professional staff of a large state agency in the mid‐west. The objectives were to assess the need and feasibility for the application of this emerging measure of effectiveness. The study found that even though performance appraisal was widely practiced as a mission support function, there was strong support for the use of this integrated measure of effectiveness. The paper concludes with offering a design for a management development workshop session which focuses on developing a complementary relationship among different personnel functions.

This paper aims to explore how new product development (NPD)-based project management offices (PMOs) work, their drivers to deliver performance and their project success impact.

The study used a survey of 35 Brazilian and multi-national companies that identified the effort to perform a list of PMO functions, some PMO drivers in the company and five project performance perception indicators. The authors apply a specific set of statistics to uncover the relations between these dimensions of interest.

The factorial analysis allows us to find the main functions influencing each other. The project teams’ perception of project management (PM) performance is suggested as a success factor that drives PMOs when working on portfolio management issues, managing project files and promoting PM over the company.

This paper contributes to a contingency approach for designing a project machine involving PMOs to support NPD projects. Managers can set the most suitable PMO functions avoiding mimicry when structuring their NPD efforts.

PMOs have impacted team satisfaction and control of project data but not indicators related to triple constraints.

Existing supply chain (SC) performance models are not able to cope with the potential of intensive SC digitalisation and establish a relationship between decisions and decision criteria. The purpose of this paper is to develop an integrated knowledge-based system (KBS) that creates a link between decisions and decision criteria (attributes) and evaluates the overall SC performance.

The proposed KBS is grounded on the fuzzy analytic hierarchy process (fuzzy AHP), which establishes a relationship between short-term and long-term decisions and SC performance criteria (short-term and long-term) for accurate and integrated Overall SC performance evaluation.

The proposed KBS evaluates the overall SC performance, establishes a relationship between decisions (long-term and short-term) and decision criteria of SC functions and provides decision makers with a view of the impact of their short-term or long-term decisions on overall SC performance. The proposed system was implemented in a case company where the authors were able to develop a SC performance monitoring dashboard for the company’s top managers and operational managers.

The proposed KBS assists organisations and decision makers in evaluating their overall SC performance and helps in identifying underperforming SC functions and their associated criteria. It may also be considered as a tool for benchmarking SC performance against competitors. It can efficiently point to improvement directions and help decision makers improve overall SC performance.

The proposed KBS provides a holistic and integrated approach, establishes a relationship between decisions and decision criteria and evaluates overall SC performance, which is one of the main limitations in existing supply chain performance measurement systems.

The purpose of this paper is fourfold: first, to analyse the relationship between executive functions and academic performance; second, to identify the level of prediction executive functions have on academic performance; third, to determine the correlation between executive functions and academic performance; and fourth, to compare executive functions based on the level of academic performance.

The sample composed of 175 university students aged between 18 and 36 years (M=21.49, SD=3.22). The EFECO scale, the average student grade and a scale based on the diagnostic criteria for ADHD were used as measurement instruments.

Difficulties in executive functions: Difficulties in working memory (r=−0.30, p=<0.01) and difficulties in conscious supervision of behaviour (r=−0.29, p⩽0.01) have an inversely proportional relationship to academic performance (the greater the deficit of executive functions, the lower the academic performance). The regression analysis showed that executive functions explain 31 per cent of the variance of academic performance (χ²(25)=43.81, p <0.001). The study found that there is a relationship between all the executive functions and students’ behaviour in a medium to large magnitude.

A limitation of this study was the size of the sample as it is not representative of the country. Nevertheless, the correlation among the variables studied here has the necessary magnitude for the proposed correlations to be found. Nonetheless, it is necessary that we perform a study with a larger number of participants in order to achieve adequate extrapolation of the results.

Data found in this study suggest that low academic performance of university students is related to a lower functionality of their executive functions.

The originality of the research lies in relating specific concepts of neuropsychology to explain the academic performance of university students. The research findings allow us to project new studies to improve the executive functions for the benefit of the university student.

The purpose of this paper is to provide researchers and journal reviewers with guidance regarding the appropriate level of analysis when developing and testing theory on export performance determinants. The authors’ focus is on the implications this has for the measurement of export performance.

The paper takes the form of an essay.

Researchers should measure export performance at the level at which the theory is developed. Most export performance theory developed is inherently export function level theory, requiring export function level measurement of performance. Less commonly, researchers may develop theory at the intra‐firm level, which requires performance data from multiple export ventures within firms for theory testing purposes. Researchers rarely have cause to collect data from a single export venture from firms, since data at this level are unlikely to generalize to the firm as a whole, and may lead to a biased picture of the determinants of overall export performance.

Researchers sometimes find that their passage to publication is blocked by reviewers who insist that measurement of export performance should occur at an incorrect level. Typically, the reviewer demands export performance assessment at the export venture level when the theory being tested is inherently an export function level theory. In this paper, the authors hope to correct poorly informed opinion regarding the use of venture level export performance measures, and encourage the use of measures of export performance that match the theory being tested.

Earlier studies have generally shown a positive relationship between entrepreneurial orientation (EO) and the overall performance of the firm. The purpose of this paper is to understand in more detail how EO influences firm performance. It adds to the literature by distinguishing performances of different functions in a firm and by exploring how the dimensions of EO influence these functional performances and, in turn, overall firm performance.

This study examined the relationship between three dimensions of EO (innovativeness, proactiveness, risk-taking), three types of functional performances of firms (R&D performance, production performance, marketing and sales performance) and the overall performance of firms. The data are collected from 279 high-tech small-to-medium-sized enterprises (SMEs) using a postal survey. The proposed hypotheses are tested using structural equation modeling (SEM).

The results indicate that the dimensions of (EO) are related in different ways to the performance of functions in a firm. A positive relationship is observed between innovativeness and R&D performance and between proactiveness and marketing and sales performance. A negative relationship exists between risk-taking and production performance. The results also show a sequential positive relationship from R&D via production and marketing and sales to overall performance of firms. Therefore, it is concluded that the R&D, production and marketing and sales functions reinforce each other in a logic order and are complementary in their effect on overall firm performance.

The results imply that the three functions, R&D, production and marketing and sales, in a firm play different roles, both in the firm’s EO and in their contribution to overall performance. Managers can use the findings to monitor and influence the performance of different functions in a firm to increase overall firm performance.

The first contribution of this study is that it unravels (i) which dimensions of EO have an effect on the performance of separate functions in a firm, indicating that functions contribute in different ways to entrepreneurial orientation of the firm. A second contribution is assessing how the performance of these functions influence the firm’s overall performance. This paper fills a gap in the literature by exploring internal firm variables mediating the relationship between EO and overall firm performance and contributes to the discussion on the contradictory results regarding the relationship between risk-taking and firm performance.

This paper aims to determine how a strategic innovation framework that integrates the concepts of innovation function, dynamic performance management (DPM) and system-dynamics (SD) modelling can measure performance in a supply chain (SC).

The paper provides a strategic innovation framework for an SC by considering three steps. First, a systemic intervention is presented based on the innovation functions that influence SC performance. Second, an analysis of the system's performance is proposed. Third, a model SD-based simulation is designed. The developed framework is explained by employing a case study of the Colombian pig sector SC.

The results reveal that identifying and synchronising the system's performance drivers associated with the innovation functions could improve the inventory in the SC.

On the one hand, managers can use the proposed framework to evaluate the innovation investments and understand their impact on operation performance (e.g. on inventories). On the other hand, policymakers may support decision-making to improve policy design (e.g. through investment in R&D).

Few studies discuss the impacts of innovation functions on SC performance. This paper aims to fill this theoretical gap and to contribute to the literature by suggesting a novel framework which includes innovation functions.

The purpose of this paper is to examine high-tech small-to-medium-sized enterprises (SMEs) supply chain partnerships. Partnerships are considered at the level of business function rather than the entire organisation. Second, the drivers of SMEs to engage in partnerships are assessed to see whether functions engage in partnerships for different reasons. Third, performance per function is assessed to see the differential effect of partnerships on the function’s performance.

In this study, the relationship between the drivers of SMEs to engage in partnerships, four types of partnerships (marketing and sales, research and development (R&D), purchasing and logistics, and production) and four types of functional performances of firms (marketing and sales, R&D, purchasing and logistics, and production) are examined. The data have been collected from 279 SMEs. The proposed hypotheses are tested using structural equation modelling.

The results indicate that there are considerable differences between business functions in terms of the degree of involvement in partnerships and the effect of partnerships on the performance of these functions. This paper contributes to research by explaining the contradictory results of partnerships on SMEs performance.

This study helps firms understand which type of partnership should be established based on the firm’s drivers to engage in supply chain partnership; and which partnership has a significant effect on which type of business performance of the firm.

The originality of this study is to investigate the relationship between different drivers to engage in supply chain partnership and different types of partnerships and different functional performance of firm in a single model.

This study explores the individual and joint effects of operations, marketing, and logistics functions on the level of business performance. The main purpose is to test whether the business performance achieved when logistics function is in complete coordination with operations and marketing functions is superior to the performance when the functions operate in a less coordinated manner.

Study hypotheses regarding the links between coordinated and non‐coordinated performances and overall business performance are evaluated through a survey of automobile manufacturers in northwest Turkey. Separate regression analyses are conducted to test the hypotheses.

It is shown that overall business performance achieved when there exists an effective coordination between the functions can be well above the performance achieved when the tasks are performed individually. Specifically, results from regression analyses performed to test the validations of study hypotheses indicate two important implications: coordination between operations and logistics functions in the specific sample is the most prominent issue for achievement of high performance; and logistics function carries an important role in linking the two most important functions of a company namely, operations and marketing.

This study adds some value to the current literature such that it empirically shows the links between coordinated and non‐coordinated functional performances and overall business performance, and eventually raises the importance of logistics function in a manufacturing‐oriented business environment.

This research aims to establish the role of the purchasing function’s strategic alignment in the relationship between well-established practices and performance in that function. It is argued that the strategic alignment of purchasing may have effects (direct, mediating and moderating effects) on the purchasing function’s operating performance.

The hypotheses derived from key studies about strategic and advanced purchasing practices are tested with data from 156 industrial companies using structural equation modelling methodology.

The results suggest that the effect of strategic alignment on the role of purchasing consists of mediated effects on purchasing performance through implementation of certain advanced practices. It was also concluded that strategic alignment – as well as the implementation of these advanced purchasing practices – fosters the implementation of differentiation strategies based on quality, dependability and flexibility rather than on the implementation of cost leadership strategies.

Although it is a common practice in operations management research, the use of perceptual measures obtained from a single informant constitutes a noteworthy limitation. Future research should make an effort to combine different sources of information and to identify and use more objective indicators.

Top managers should take into account the need to involve the purchasing function in the firm’s strategic planning process.

The results not only confirm findings from previous literature as to the purchasing function’s strategic relevance but also help clarify the mechanisms that make this integration important.