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It is generally agreed that businesses perform better if they are managed through formalised, balanced and integrated performance measures. Reports on some case studies which were part of a study to explore the dynamics and relationships between performance measurement, organizational culture and management styles. A key finding of the work is that organisational culture and management style seems to be interdependent throughout the lifecycle of the performance measurement system.

The purpose of this paper is to examine the factors that impact the quality of the education service in a Peruvian private university, based on the perception of students and graduates.

The sample consisted of 29 students and 20 graduates from the Administration and Finance Program of a Peruvian private university. The data was collected through focus groups and in-depth interviews based on the students’ and graduates’ perspectives of their experiences. The collected data was subjected to content analysis.

The study identified ten factors or the underlying dimensions that drive the quality of the education service provided by a Peruvian private university. The factors are professors, lecturers, curriculum, extracurricular activities, position and recognition of the university, infrastructure, library, admission, adequate communication mechanisms with faculty and authorities and services. The main quality indicators of the education service were the professors and curriculum planning. As the students were using the education service, they were more focused on “how” they received the service, rather than “what” services they received, i.e. they evaluated the quality of the process. In contrast, graduates gave more importance to functional service quality. They evaluated the quality of “what they received,” i.e. the result.

The study has several limitations. First, the qualitative approach does not allow generalizing data. The sample size was relatively small and only involved one Peruvian private university. The study was based on the respondent’s perceptions, which were considered accurate.

Based on the study findings, the authors made recommendations to meet the needs of the students and graduates. These findings can help universities to develop strategies that improve educational quality and to allocate resources more effectively. Further research could focus on factors that impact service quality in higher education at different stages of the student lifecycle, namely, applicants (service expectations), students (quality of the process) and graduates (results). The authors suggest validating these results quantitatively.

The study proposes a framework of the higher education service quality based on the experiences of students and graduates that can be used by higher education institutions to continue improving educational quality. The originality of the study lies in the perspective on service quality according to the experiences of students and graduates. Also, this study provides empirical evidence on service quality research in Latin American higher education institutions.

Total quality management, supply base management, customer driven corporate policy, and other elements of supply chain management are frequently cited as strategic options to achieve competitive success in the 1990s. However, attempts by companies to implement these options have not been universally successful and have in many cases failed to yield the desired results. This study presents details of a survey carried out to determine whether particular quality management, supply base management, and customer relations practices can impact corporate performance. In addition it examines the impact analyzing the competitive environment has on performance. Regression models identify several factors that directly and positively impact corporate performance. These include the extent to which companies analyze the strategies of competitors and determine future customer requirements, and the commitment they have to evaluating performance throughout the supply chain.

Practitioners and researchers are persistently trying to identify critical product/service attributes that generate greater customer satisfaction, which in turn yields multiple positive outcomes for the business. However, traditional measuring of attribute performance does not account for a non-linear nature of the relationship between attribute performance and customer satisfaction. The purpose of this paper is to apply an alternative method – penalty-reward contrast analysis (PRCA) grounded in Kano model – to a wine festival setting and to estimate the effects of each attribute on the overall satisfaction.

The aim of the study is to use a self-administered survey distributed to attendees of a large wine festival in the USA, resulting in a sample of 250 festival attendees.

Personnel and entertainment were considered “must-be” or basic factors for wine festivals. Failing to deliver on these dimensions will lead to attendees’ frustration and is likely to outweigh positive impact of other factors. Wine was considered to be a linear, or performance, factor with symmetrical positive and negative impact on satisfaction. Food and facilities were non-significant in predicting customer satisfaction.

Given that most wine festivals operate with rather scarce resources in a competitive environment, using an approach that helps determine how limited resources are best deployed to achieve the highest levels of customer satisfaction is beneficial for the industry. The study provides new insights to wine festivals managers as to how drivers of satisfaction may vary according to attributes of both the festival and the attendees.

The study adopts the novel approach of the PRCA in its application to wine festivals, making the study unique and noteworthy. It brings new knowledge about quality components of wine festivals and adds support to the new evaluation tool.

Cities are crucial to reducing greenhouse gas (GHG) emissions. This paper aims to explore the quality of GHG disclosures by cities via the Carbon Disclosure Project (CDP) and compares them with the expectations of users.

The expectation gap framework is used to examine the GHG disclosure quality of 42 cities. User expectations are determined via a literature review and CDP documentation. City disclosures are reviewed using content analysis.

GHG information at the city level is outdated, incomplete, inconsistent, inaccurate and incomparable and, therefore, to meet user expectations, improvement is needed.

The findings have implications for policymakers, stakeholders and managers. Guidelines are required for better disclosure of GHG information relating to cities, and stakeholders need to develop better skills to understand emissions information. Managers have a responsibility to measure, disclose and mitigate GHG emissions to meet the expectations of stakeholders.

Prior studies focus on GHG disclosures via the CDP by corporations. This is the first accounting study to examine GHG disclosures by cities via the CDP. The expectation gap framework is a novel approach to sustainability disclosure research.

This study aims to assess the adequacy of unified theory of acceptance and use of technology-3 (UTAUT-3) model in understanding academician’s adoption to e-Learning, with intent of getting more academicians to accept e-Learning in the Sri Lankan higher education context. Limited validity of the model in an educational context led to this study. The emergence of internet-based technology has changed the way people live, work and study. Technological platforms such as e-Learning have advanced educational systems by enhancing learner experience while benefiting teachers and educators in many ways.

The study used a deductive approach and quantitative methodology, in which a theoretical model was tested using hypotheses to assess causality between study variables. The simple random sampling was used to collect data using a self-administered questionnaire that was sent via Google Forms to targeted respondents. The final sample consisted of 441 academicians who responded to factors of e-Learning adoption on a seven-point Likert scale. Structured equation modelling was used for data analysis.

It was revealed that performance expectancy, effort expectancy, facilitating conditions, habit and hedonic motivation were significant influences of academician’s adoption to e-Learning. However, social influence and personal innovativeness in IT were not significant predictors of e-Learning.

Due to the scope of the study, the factors that determine e-Learning adoption were limited to UTAUT-3 variables. Additionally, the concept was tested from only an academician’s perspective using quantitative methodology.

The findings are useful to higher education institute (HEI) administration, instructors and teaching assistants, policymakers to design and implement their online strategy as well as to make appropriate decisions in getting e-Learning accepted among a higher number of local HEI academicians. It is recommended for the decision-makers in the HEIs to consider the effect of the above findings in setting plans for higher e-Learning adoption. For instance, staff training catering to specific departmental needs, continuous awareness building, periodic reviewal of e-Learning system, e-Learning champions, introduction of policies and guidelines to encourage trial usage would be useful in this aspect.

Successful use of e-Learning would help HEIs to overcome certain issues that exist in a traditional classroom. e-Learning facilitates education delivery beyond time and space while supporting enhanced performance monitoring and skill development which ultimately improve quality of output and institutional performance.

The study examined the adequacy of UTAUT-3 in understanding the adoptability to e-Learning. Second, it recognised a set of factors that affect the academic staff acceptance of e-Learning in higher education environments. A useful framework is provided to the HEI’s administration to successfully implement e-Learning systems. This study contributes to the growing body of information system literature by examining the validity of UTAUT-3 framework in the use and acceptance of educational technology in a developing country.

This paper explains the results of a doctoral thesis in production engineering and presents a tool for the qualitative evaluation of office buildings performance, using the Cosenza hierarchical analysis model (HAM). This embodies the principles of the complex thought of Edgar Morin, of fuzzy sets approach and of linguistic variables use. Starting from a group of regular attributes, HAM confronts, in one single operation, the competing forces of space and building facilities by different organizations with the supply of a group of buildings. The results of the simulation confirm the effectiveness of a tool that links manageability to a formal representation of a subjective decision‐making processes, based on environment‐behaviour aspects. Whilst confronting different organizational demands with the supply of a group of buildings, this model makes possible rapid decision making and the identification of a supply profile for the purpose of acquisition.

This paper aims to answer following three important but not well-answered or unanswered questions in the extant trust literatures: What is the true magnitude that trust impacts on performance? Is there any consistency among the effects of trust on performance at different levels? How does vertical distance affect the trust-performance relationship?

It captures the law between trust and performance at different levels by conducting a meta-analytic examination consisting of 238 independent empirical studies, 586 effect sizes and 110,576 independent samples.

It makes a periodic conclusion that trust significantly promotes performance. Specifically, trust not only has stronger positive correlation with team performance than individual and organizational performance inside organization, but also strongly facilitates organizational performance between organizations. Moreover, consistency exits in the effects of trust on performance at different levels. On one hand, trust has stronger positive correlation with performance of contextual type than performance of innovative type than performance of task type at different levels. On the other hand, promotion effect of trust on performance strengthens when the vertical distance between trustors and trustees diminishes. Additionally, three potential moderators including publication status, measurement tool and common method variance moderate the focused relation, but moderating effect is not thorough for regional culture. Moderating directions of the above four potential moderators are highly consistent.

This paper answers the three important but not well-answered or unanswered questions.

The purpose of this paper is to determine the predominant classification of intellectual capital (IC), in terms of components, using the literature of reference on the relationship between IC and performance and considering multi-dimensional analysis axes (MAAs): organisational, regional and national.

A systematic literature review (SLR) is presented focussing on empirical studies on IC published in the period 1960-2016. A protocol for action is defined and a research question is raised, gathering data from the databases of: Web of Science, Scopus and Google Scholar. A social network analysis is also provided to determine the type of networks embracing groups, IC individual components and performance type.

Of the 777 papers included in the SLR, 189 deal with the relationship between IC and performance. The paper highlights the greater development of empirical studies starting from 2004; the organisational MAA is the most studied. The most frequently used groups of components in studies dealing with IC’s influence on performance corresponds to a triad of human capital; structural (organisational or process) capital; and relational (social or customer) capital, which determine positively the performance of organisations/regions/countries, but their influence is not linear and depends on various factors associated with the context and surrounding environment.

This study has wide-ranging implications for politicians/governments, managers and academics, providing empirical evidence about the relationships between the components of IC and performance, by MAAs, and a global vision and better understanding of how those IC components have developed and how they are related to performance.

Due to the high number of references covering a wide range of disciplines and the various dimensions (e.g. organisational, regional and national) that form IC, it becomes fundamental to carry out an SRL and systematise its MAAs to deepen knowledge about what has been discovered/developed in this domain, in terms of empirical studies, in order to situate the topic in a wider theoretical-practical context. The paper is exceptionally wide-ranging, covering the period 1960-2016. It is one of the first clarifying studies on systemisation of the literature on IC, by MAA, and an in-depth study of IC’s impact on the performance of organisations/regions and countries which may serve as a guideline for future studies using the taxonomy proposed.