A conceptual framework for operational performance measurement in wholesale organisations

PurposePerformance measurement involves gaining useful information about performance. The purpose is to develop a conceptual framework to assist wholesale managers in selecting useful information to evaluate operational performance. The proposed framework identifies core operations, measures of operational performance and factors that affect the performance of wholesale organisations.Design/methodology/approachThe research essentially relies on the available literature to develop a conceptual framework and define related components. Research primary data were used to validate the framework components and to implement the framework in wholesale organisations by allocating performance factors to the different components of the proposed framework. Using a semi-structured interview design, ten face-to-face interviews were conducted with managers of ten different wholesale organisations.FindingsThe research identifies five core operations that affect the operational performance in wholesale organisations, four measures for evaluating efficiency and effectiveness in every core operation and 28 factors that influence operational performance in wholesale organisations.Originality/valueOperational performance is monitored by evaluating the achievement of efficiency and effectiveness in operations. The research introduces a performance measurement framework that identifies the required information to evaluate the efficiency and effectiveness of core operations in wholesale organisations.

Measuring Project Governance of Mega Infrastructure in China: A Scale Development Study

This study builds a measurement framework of project governance for mega-infrastructure considering the institutional situation of mega-infrastructure projects in China, including contractual governance, relational governance, and governmental governance. The factors of governmental governance are identified by the method of grounded theory with six cases of megaprojects, and the measures of project governance for mega-infrastructure are refined by expert interviews. The 235 questionnaires are collected, and exploratory factor analysis is used to identify six factors of the governance mechanism for mega-infrastructure projects. The scales are developed, and reliability and validity tests are conducted. Results indicate that (1) the governmental governance mechanism includes government decision, government supervision, and government coordination. (2) The three-dimensional framework of project governance is established as “contractual–relational–governmental” in the field of mega-infrastructure. (3) The measurement scales of project governance are developed and validated for mega-infrastructure, including government regulation, government coordination, risk sharing, revenue distribution, relationship maintenance, and cultural development. This research contributes to (a) the state of the knowledge by gaining a holistic and comprehensive understanding of project governance in mega-infrastructure in China, and (b) the state of the practice by providing a tool for measuring project governance in mega-infrastructure.

Mobile Application for Tourism

The current study developed a proposed mobile app for tourism companies in Egypt and tested its usability. A survey from a group of 53 respondents was conducted based on the mobile app features which were developed by tourists. The proposed mobile app was then tested by using usability measurement framework which was used to test the usability of the app interface and to ensure that this app meets user requirements. Three main usability metrics were employed in this study; effectiveness, efficiency and satisfaction. This study contributes to the current Mobile tourism and Mobile apps literature and offers useful information for ministry of tourism, software companies, mobile application developers and, of course, mobile device users in addition to entrepreneurs, policy makers, practitioners, researchers and educators through providing a clearer view and deep understanding for the issues related to the adoption of tourism-related new mobile phone application in Egypt.

The channel capacity of multilevel linguistic features constrains speech comprehension

Humans are expert at processing speech but how this feat is accomplished remains a major question in cognitive neuroscience. Capitalizing on the concept of channel capacity, we developed a unified measurement framework to investigate the respective influence of seven acoustic and linguistic features on speech comprehension, encompassing acoustic, sub-lexical, lexical and supra-lexical levels of description. We show that comprehension is independently impacted by all these features, but at varying degrees and with a clear dominance of the syllabic rate. Comparing comprehension of French words and sentences further reveals that when supra-lexical contextual information is present, the impact of all other features is dramatically reduced. Finally, we estimated the channel capacity associated with each linguistic feature and compared them with their generic distribution in natural speech. Our data point towards supra-lexical contextual information as the feature limiting the flow of natural speech. Overall, this study reveals how multilevel linguistic features constrain speech comprehension.

Measuring the ICT Sector in the Digital Economy

The article addresses the problem of measuring the Information and Communication Technology (ICT) sector and its relationship to the digital economy as defined in the OECD «Guidelines for Supply-Use Tables for the Digital Economy». Analysis of various concepts of the digital economy shows that the ICT sector is its key element. It is stressed that, in line with the OECD recommendations, the measurement of the digital economy should be based on the SNA satellite account, the core element of which are the Digital Supply-Use Tables (Digital SUTs). This approach enables to reflect most fully within a single statistical model integration of all phases of digital products (goods and services) circulation in the national economy.It is noted that the construction of ICT Supply-Use Tables (SUTs) is a critical self-contained task, as it provides a measurement framework for both digital (regardless of the model to be adopted) and (more broadly) information economy.It is stressed that the ability to capture the use of ICT products as well as the cost of their production depends significantly on the identification and valuation of digital products and industries in the Digital SUTs. The identification of such industries is now a major challenge because of the lack of separate activities in the existing industrial classifications that are characteristic for their constituent units.The article concludes with a presentation of the pilot estimates of ICT Sector SUTs core indicators obtained by the authors at the Economic Statistics Centre of Excellence, HSE University. The contribution of the sector to the GDP of the Russian Federation is analysed and its inter-sectoral linkages, both on the demand and supply side, are assessed. It is concluded that the full implementation of the Digital SUTs depends on the inclusion in the new International Standard Industrial Classification (ISIC) the additions necessary to identify and evaluate digital products and industries.

The Global State of Democracy Indices Methodology, Conceptualization and Measurement Framework, Version 5 (2021)

The Global State of Democracy is a biennial report that aims to provide policymakers with an evidence-based analysis of the state of global democracy, supported by the Global State of Democracy (GSoD) Indices, in order to inform policy interventions and identify problem-solving approaches to trends affecting the quality of democracy around the world. This document revises and updates the conceptual and measurement framework that guided the construction of Version 5 of the GSoD Indices, which depicts democratic trends at the country, regional and global levels across a broad range of different attributes of democracy in the period 1975–2020. The data underlying the GSoD Indices is based on a total of 116 indicators developed by various scholars and organizations using different types of source, including expert surveys, standards-based coding by research groups and analysts, observational data and composite measures.

A Measurement Framework for Explicit and Implicit Urban Traffic Sensing

Urban traffic sensing has been investigated extensively by different real-time sensing approaches due to important applications such as navigation and emergency services. Basically, the existing traffic sensing approaches can be classified into two categories by sensing natures, i.e., explicit and implicit sensing. In this article, we design a measurement framework called EXIMIUS for a large-scale data-driven study to investigate the strengths and weaknesses of two sensing approaches by using two particular systems for traffic sensing as concrete examples. In our investigation, we utilize TB-level data from two systems: (i) GPS data from five thousand vehicles, (ii) signaling data from three million cellphone users, from the Chinese city Hefei. Our study adopts a widely used concept called crowdedness level to rigorously explore the impacts of contexts on traffic conditions including population density, region functions, road categories, rush hours, holidays, weather, and so on, based on various context data. We quantify the strengths and weaknesses of these two sensing approaches in different scenarios and then we explore the possibility of unifying two sensing approaches for better performance by using a truth discovery-based data fusion scheme. Our results provide a few valuable insights for urban sensing based on explicit and implicit data from transportation and telecommunication domains.

Constructing a Teaching Presence Measurement Framework Based on the Community of Inquiry Theory

Given that there is no consensus on a framework for measuring presence in online teaching, this paper focuses on the construction of a reliable measurement framework of teaching presence based on the Community of Inquiry theory. In this study, 408 questionnaires were collected from college students who had online learning experience. Item analysis, exploratory factor analysis, and confirmatory factor analysis were used to analyze the results, which showed that the five-factor framework is in good agreement with the data. The confirmatory factor analysis also demonstrated a good model fit of the correlated five-factor teaching presence framework. Therefore, the teaching presence measurement framework consisting of design and organization, discourse facilitation, direct instruction, assessment, and technological support, can serve as an effective tool to support teaching presence measurement and to provide guidance for instructors’ online teaching.