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The purpose of this research is to present an alternative to the vast majority of studies on chief executive officer (CEO) compensation practices in the USA which have relied on multiple regression analysis and its variants.

The paper points out the shortcomings of traditional parametric approaches (such as regression analysis) to the analysis of CEO compensation practices and suggest non‐parametric alternatives.

Using tests for concurrent validity, the paper demonstrates how non‐parametric assessment may be successfully applied to the analysis of CEO compensation practices.

Because of the novelty of this approach, the findings should be of value to those academics and practitioners interested in the evaluation of CEO compensation practices.

Relative performance evaluation (RPE) involves board comparisons of firm performance to that of a peer group when evaluating CEO performance. To date, research on RPE in the USA has typically relied on models where RPE is implicitly assumed. In contrast, Bannister and Newman provide some direct evidence on the explicit RPE usage by US firms showing that it is limited and there is significant inter-industry variation in its use. The authors aim to focus on why boards in some industries employ RPE to a greater extent than those in other industries do using measures of industry discretion, industry homogeneity, industry competition.

The authors utilize the sample use in the Bannister and Newman study of RPE usage in industries (160 firms from the 1992 Fortune 250 with proxy statements for 1992 and 1993). The authors compile measures of industry membership (using SIC codes), industry discretion, industry homogeneity, and industry competition from Compustat a well. Multiple regression is used to test the hypotheses.

The authors find that the use of RPE at the industry level is significantly related to industry discretion (i.e. the degree of latitude that managers have over strategic and operational choices in the particular industry environment) and industry homogeneity, but not to industry competition.

The study is limited in terms of a dated sample (necessary to be consistent with the Bannister and Newman paper). It would bear updating. In addition, multi-year panel data could be used to generate more robust results. It would also be useful to replicate the study in other national (and hence governance) contexts.

The findings should help boards when deciding how to reward or punish CEOs and top managers for their firm performance by filtering out relative performance in a more rational manner (e.g. by taking relevant industry context into account).

In terms of originality, this is the first study, to the authors' knowledge, that investigates RPE at the industry level. It is valuable because industry discretion is an important contextual variable that a board of directors will find useful in evaluating managers since this type of discretion is beyond managerial control.

The purpose of the research is to study how Chief Executive Officer’s (CEO’s) ownership, CEO’s structural and expertise power and underwriters’ reputation affect the initial public offering (IPO) lockup period.

The study uses the multivariate regression method to test the hypothesis on a sample of 1,071 US IPOs, which comprise 80 per cent of the total population of IPOs over the 1998-2002 period.

It was found that CEO equity ownership had a direct positive impact and two indicators of CEO positional power (CEO duality, founder status) and underwriter reputation had a direct negative impact on the length of the lockup period that results from IPO negotiations between the issuing firm and the underwriter. It was also found that underwriter reputation negatively moderates the impact of equity ownership (likely due to a substitution effect) and positively moderates the impact of CEO duality on lockup period length (by offsetting the impact of CEO positional power).

Previous studies have exclusively studied the affect of economic factors on IPO lockup. This paper extends the extant literature by studying the insider’s characteristics like CEO’s power and underwriter’s reputation on IPO lockup periods.

Flexibility in manufacturing has aroused considerable interest among researchers and professionals. However, the vast body of literature on flexibility does not adequately address the kind of flexibility a company needs to meet its strategic objectives, nor how this flexibility can be achieved. An overview is provided of different types of flexibility, a classification scheme based on the strategic positioning and goals of the firm is provided, and suggestions are made on how these goals may be achieved. The importance of such a classification in the design and investment justification of flexible manufacturing is also discussed.

Division of motor vehicle (DMV) offices serve a wide swath of Americans in all states and can therefore serve as excellent vehicles to study the quality of public services in the country. However, relatively little attention has been devoted in the academic literature to studying operations in DMV offices, especially as it relates to service quality and productivity. In an attempt to address the same, this paper aims to present the results of a study of DMV offices across the USA through a nationwide survey about vehicle titling and registration services, that received response from 31 of the 50 states and District of Columbia.

The authors use a mixed methods approach – a sequential unequal weight mixed methods approach starting with a quantitative analysis of DMV operational data followed by a qualitative case study approach. The primary data collected for this study were with a nationwide survey of the highest DMV office in each state, conducted through the American Association of Motor Vehicle Administrators. Out of the 50 states, 31 states and District of Columbia responded to the survey. In addition to descriptive statistical analysis performed to glean nationwide findings, Data Envelopment Analysis was used to determine efficiency of operations. Finally, extensive in-person interviews with senior managers of DMV offices in Ohio and Indiana were conducted to get more in-depth information for case studies and identification of best practices.

States exhibit significant variations in labor and capital productivity and based on Data Envelopment Analysis, Texas and Minnesota DMVs are the most efficient in terms of using their labor and capital inputs to maximize the number of transactional services rendered. The authors also find that while operational performance of vehicle titling and registration services is monitored by most DMV offices across the nation, assessment of customer satisfaction received much less attention. Among the states that do well on both are Indiana and Ohio; the case studies presented based on interviews with their officials that also identify best practices.

This research was limited to the USA as are its findings. Additionally, it focuses only on vehicle titling and registration at DMV offices because that represents the bulk of services performed by a DMV and the output is standard across all states. Nonetheless, a future study should be extended to other DMV services.

Given the finding that assessment of customer satisfaction is not widely practiced in DMV offices, DMV officials should address this by putting appropriate systems in place. Additionally, practitioners and state officials can use the findings of this study to develop best practices for their operations and also determine the most appropriate ways to structure the provision of those services that result in enhanced efficiencies and customer satisfaction.

DMV services are among the most widely used services offered by the government in the USA and the overall size and scope of services provided by them across the country is immense. Thus, any improvements in productivity and service quality has significant implications in terms of improving public satisfaction with government services.

To the best of our knowledge, this represents the first nationwide comparative study of DMV offices in the USA that focuses on service quality and analyzes productivity across the states. Additionally, the case study provided at the end of the paper identifies best practices from two states that have received national recognition for service quality which could be adopted by all DMV offices across the USA. The findings also conform/strengthen numerous hypotheses espoused in existing models and theories from service operations literature by providing evidence in their favor.

The purpose of this paper is to identify whether consumer evaluations of products are influenced by the presence of co-branding with a well-known reputable ingredient brand and whether differences in evaluations are related to the socioeconomic stratum of the consumer.

These questions were investigated by way of two experiments: the first, using a between-subjects approach that was carried out with 210 subjects and the second, using between- and within-subjects approaches that were carried out with 305 subjects.

The results show that: products produced by both little-known and well-known brands are evaluated more favourably when they are co-branded with a well-known ingredient brand; there is no evidence that the co-branding effect on product evaluation is stronger for little-known brand products than for well-known brand products; and there is weak evidence that the co-branding effect on product evaluation is stronger among subjects from lower socioeconomic strata than among subjects from the upper stratum.

The theory of anchoring alone is insufficient for explaining differences in product evaluations when the co-branding strategy is adopted. It is believed that positive effects can be also interpreted by the assimilation and signalling theories.

As for the managerial implications, the authors offer insights into the impacts of using a strategic co-branding alliance on the products of little-known brands among consumers from lower and upper strata.

The study contributes to consumer behaviour literature, specifically with regard to ingredient-brand effects in co-branding strategies from the perspective of the end consumer.

The aim of this paper is to conceptualise a structural model of natural resource based green supply chain management (GSCM), and its relationship, with an indication of cause and effect, to relevant performance measures and drivers.

The literature, describing GSCM from a natural resource based view (NRBV), along with performance measures and institutional drivers, is critically evaluated and used to develop the model.

Constructs are identified in terms of intra‐ and inter‐organisational environmental practices, performance measures and institutional drivers. Causal relationships, within and between the constructs, are also proposed in the form of hypotheses.

At this stage the model is purely conceptual and the causal relationships are only proposed. Empirical tests of the model and hypotheses are required.

On empirical verification, this work can furnish managers with validated measurement scales to evaluate their strengths and weaknesses in their GSCM implementation and determine how firms can successfully implement GSCM to promote sustainable industrial development.

GSCM from within the NRBV perspective, and incorporating performance measures and institutional drivers, has yet to be comprehensively synthesised in a coherent model. This conceptual work is the first step in that direction.

In this article, we examine the impact of repeat interactions between VCs and underwriters. Past research has suggested that such interactions build trust and may contribute to more equitable treatment of issuing firms. We adopt an alternative perspective and suggest that these repeat interactions are characterized by reciprocal exchanges facilitated by opportunistic behavior from the VC. Our analysis demonstrates that VCs and underwriters interact in order to appropriate greater value from the IPO. This article provides a more complete understanding of repeat interactions between the VC and the underwriter by identifying characteristics of the relationship that have an impact on the value of the IPO.

In common with other public sector bodies, the police service recognises that the development of leadership capability amongst its workforce is key to improving levels of both performance and service delivery. The recently developed Police Leadership Qualities Framework lays out a clearly defined model of leadership, and is underpinned by a framework of values and behaviours that enable that model to be developed in practice. This paper expands on one of the key underlying principles of the model that leadership is evident at all ranks and grades of the service, and is a skill that can be developed. This article postulates that each individual has their own ‘leadership space’ which it is important they are able to fill effectively. Individual and organisational failings often occur when this ‘space’ is not properly filled ‐ through lack of skill, development opportunity or experience. The paper considers a cognitive and behaviourist approach to learning and explores some of the ways in which leadership capability is developed in the police service.

The purpose of this study is to investigate the relationship between the level of sustainability reporting [environmental, social and governance (ESG)] and sectorial energy performance across both developed and emerging economies.

Using data culled from 3,311 observations from 50 different countries over a ten-year period (2008–2017), an ESG-score-derived independent variable is regressed against dependent performance indicator variables (operation ratio, return on equity and Tobin’s Q). Two types of control variables complete the regression analysis in this study: firm-specific and macroeconomic.

The findings of this study elicited from the empirical results demonstrate that there is a significant relationship between ESG and operational performance (operation ratio). However, there is no significant relationship between ESG and financial performance (return on equity) and market performance (Tobin’s Q). However, the relationship between ESG and operation ratio is stronger in emerging than in developed economies.

The model in this study presents a valuable analytical framework for exploring sustainability reporting as a driver of performance across energy sectors in both developed and emerging economies. In addition, this study highlights energy-sectorial managerial implications contrasting developed, as juxtaposed with, emerging economies.