Search results

In this study, the authors propose a confirmatory factor analysis (CFA) to create a tenable measurement model and identify the factors that have the potential to enhance awareness of pro-environmental measures. The successful implementation of demand response (DR) programs and their required infrastructure is significant for moving towards green energy communities and a better environment for living. Not only can renewable energy capacities contribute to this desideratum, but also electricity consumers who, until the last decade, have played a passive role.

To answer these questions, a complex data set of 243 post-trial questions created by the Irish CER are analyzed using first-order and hierarchical CFA models with several SAS procedures (PROC CALIS, MIANALYZE). The questionnaire was launched to over 3,000 electricity consumers from Ireland that were participants to a trial program after the installation of smart metering systems and implementation of DR programs.

The effect of five latent factors – positive attitude, negative attitude, perceived impact of own actions, price- and incentive-DR programs – is measured. With a bi-factor CFA measurement model, the authors assess that they significantly influence the electricity consumers' awareness.

However, these findings have to be backed up by relevant information and simulations showing consumers benefits in exchange to their efforts. They have research implications on the design of the business models and DR programs pointing out the importance of benefits and fairness of value sharing mechanisms within energy communities.

Thus, the electricity consumers may change their consumption behavior as they positively perceive the implementation of DR programs.

This paper fulfills an identified need to study post-trial questionnaire and reveal latent factors that make electricity consumer change their behavior.

The purpose of this paper is to develop an instrument that measures the effectiveness of the ISO 9001 Quality Management System (QMS), based on its components, meaning the ISO 9001 objectives; and to validate this instrument in the food manufacturing sector.

Bearing in mind the definition of “ISO 9001 effectiveness”, the ISO 9001 objectives and their indicators are identified in the literature. Based on these indicators, a measurement instrument is developed and then empirically validated through collecting preliminary data from 335 Greek food manufacturing small and medium‐sized enterprises (SMEs). After testing the assumptions of multivariate analysis, exploratory factor analysis as well as first and second order confirmatory factor analysis are applied.

The data collected reveal, as identified in the literature, the three‐dimensional nature of the ISO 9001 objectives (continuous improvement, prevention of nonconformities and customer satisfaction focus). The responding food manufacturing SMEs demonstrate a high level of achievement of these objectives. Further analysis of the data also reveals a valid latent factor reflecting the successful achievement of the ISO 9001 objectives, namely “ISO 9001 effectiveness”.

The present study focuses on food manufacturing SMEs. Therefore, it is worth validating the measurement instrument on large food manufacturing companies, food service companies, companies of specific food sub‐sectors, non‐food companies and finally on companies operating in different economic conditions to Greece.

This measurement instrument can be used by a food manufacturing SME as a self assessment tool and a benchmarking tool. In doing so, suitable strategies can be selected in order for a food SME to improve quality, gain competitive advantage and overcome the current downturn.

In this paper, a measurement instrument is developed and validated in food manufacturing SMEs, based on measures describing the ISO 9001 objectives; in other words, ISO 9001 effectiveness.

This study aims to examine a second-order latent variable of family functioning built from two established protective factors for American Indian (AI) youth, i.e. family cohesion and parental monitoring. This study then examines if family functioning is related to alcohol use frequency or age of initiation for AI youth. Additionally, this study examines if family functioning served as a moderator for the risk factor of peer alcohol use.

Data came from the 2021 Our Youth, Our Future survey. Participants were 4,373 AI adolescents from Grades 6–12 across the contiguous USA. Structural equation modeling (SEM) was used to test the latent variable of family functioning. Structural paths and interaction terms between peer use and family functioning were added to the SEM to explore direct and moderating effects.

Family cohesion and parental monitoring were best represented by a second-order latent variable of family functioning, which was related to later initiation and lower alcohol use frequency.

The findings regarding the initiation of alcohol use may be applicable to prevention programs, with family functioning serving as a protective factor for the initiation of alcohol use. Programs working toward alcohol prevention may be best served by focusing on family-based programs.

The latent variable of family functioning is appropriate for use in AI samples. Family functioning, which is an inherent resilience factor in AI communities, was shown to be protective against harmful alcohol use behaviors.

Hong Kong has undergone extensive curriculum reform and shifted from a three-year to a four-year university system. With a nuanced look at the impact of the curriculum reform, the purpose of the present study was to compare two concurrent cohorts by examining the extent to which the students in each cohort perceived their learning environment and learning outcomes differently and to what extent their perceptions differed.

A sample of 3,102 first-year students enrolled at a Hong Kong university responded to the student learning experience questionnaire (SLEQ). The perceived learning experiences between the two cohorts were tapped through several latent factors and validated through tests of measurement invariance. Latent mean differences were then compared. A multiple-group confirmatory factor analysis approach was used.

The findings suggested that measurement invariance of the scales of the SLEQ was established and that the two cohorts of students perceived largely similar learning experiences. The latent mean differences were statistically significant on the scales of feedback from teacher, clear goals and standards, personal integrity and ethics, intercultural competence, global perspective and civic commitment.

The results facilitate the understanding of perceived student learning experiences with evidence-based implications for enhancing student learning experiences and refining the four-year curriculum under the new curriculum reform conditions.

This is the first institution-wide study that compares student learning experiences of two concurrent cohorts under curriculum reform initiatives of Hong Kong. It provides a meaningful and pertinent example for educators and researchers worldwide to analyze the impact of curriculum reform from the perspective of students’ perceived learning experiences. Similar studies adopting rigorous approaches in the measurement of students’ perceived learning experiences are relatively rare in higher education. Such efforts are encouraged for accountability and quality improvement purposes.

This chapter describes how to use popular software programs (Hierarchical Linear Modeling, LISREL) to analyze multiwave panel data. We review prevailing methods for panel data analyzes in strategic management research and identify their limitations. Then, we explain how multilevel and latent growth modeling provide more rigorous methodologies for studying dynamic phenomena. We present an example illustrating how firm performance can initiate temporal change in the human and social capital of members of Board of Directors, using hierarchical linear modeling. With the same data set, we replicate this test with first-order factor latent growth modeling (LGM). Next, we explain how to use second-order factor LGM with panel data on employee cognitions. Finally, we review the relative advantages and disadvantages of these new data-analytical approaches.

The purpose of this study is to determine the relationships between Lean adoption and organizational performance in a specific Greek public services subsector, namely, citizen’s service centers (CSCs).

An online structured questionnaire survey was distributed to all the Greek CSCs, and 672 employees responded and fully completed the questionnaire. Exploratory and confirmatory factor analyses were applied to assess the measurement model’s reliability and validity. The relationships between the latent constructs were examined through structural equation modeling.

The study revealed that Greek CSCs adopt at a medium to high extent the following principles: understanding customer needs, establishment of value streams, creating flows within the value streams and value perfection. The data also revealed a valid latent factor reflecting the Lean application, namely, “Lean adoption,” which, according to the findings, contributes to the organizational performance of Greek CSCs.

The small percentage of the responding employees of the Greek CSCs, given their large population and the subjective nature of the data collected, constitute the main limitations of the present study.

The findings of this research will serve as a reference source for managers and decision-makers of CSCs in order for them to set the foundations for successfully adopting the Lean principles and therefore improve their organizational performance in terms of operational performance and satisfaction with employees and citizens.

Building on the public sector literature, to the best of the authors’ knowledge, this is the first study that evaluates the adoption of Lean principles in the Greek CSCs and defines the relationships between Lean adoption and organizational performance.

The purpose of this paper is to examine the extent to which five core dimensions of quality management, as a single factor, are associated with product innovation and process innovation; and finally how these two affect a firm’s competitive advantage in the market.

The analysis followed in order to investigate the relations between the constructs of the proposed model, includes an initial exploratory factor analysis (EFA), followed by confirmatory factor analysis (CFA) and finally structural equation modelling (SEM)

According to the study findings, quality management (QM) directly contributes to product and process innovation. Furthermore, product and process innovation have a direct impact on companies’ competitive advantage. Thus, the study proves that QM is an opportunity for a firm to improve its innovation and consequently its competitiveness.

This study relies on the perceptions of the respondents to operationalize the survey instrument. In addition, all variables are measured in the year that the survey was carried out. However, since the research exams the relationship between QM, technical innovation and competitive advantage across various organizations, it would be interesting to conduct a longitudinal study within these organizations.

Our study offers clear implications for managers, proving that they should give higher emphasis on QM and innovation in order to prioritize their product, production and technology strategies, to achieve sustainable competitive advantage.

Based on the multi-dimensional structure of QM, this empirical study determines the contribution of QM to specific innovation performance and overall competitiveness of companies.

This study examined the relationship between self‐leadership and personality through an analysis and comparison of hierarchical factor structures. Structural equation modeling techniques were used to examine several competing models combining the hierarchical factor structures of self‐leadership and personality. Model fit increased significantly through a progression of models that reflected increasingly greater distinction between self‐leadership skill dimensions and key personality traits. The best fitting model consisted of a hierarchical factor structure with three first‐order self‐leadership factors, three first‐order personality factors, and two correlated second‐order factors. Unexpectedly, the general second‐order factors of self‐leadership and personality were statistically indistinguishable. Nevertheless, these results seem to provide some initial evidence that self‐leadership dimensions are distinct from, yet related to, certain key personality traits. The implications of these results for future self‐leadership research and practice are discussed.

Purpose – This study tests three theories of determinants of workers' subjective response to work situations – structural factors (measured by individual, organization, and job characteristics), general disposition, or informal work arrangements as constructed by Laubach's (2005) “consent deal.”Design/methodology/approach – Data were obtained from the Indiana Quality of Employment Survey, a survey of workers covering general working conditions. We constructed 10 models regressing worker perceptions and attitudes (e.g., satisfaction, relations with supervisors, meaningfulness) on structural determinants. We then used structural equation modeling to identify an underlying factor representing a general worker response from elements of the attitudes and perceptions. Finally, we regressed a scalar version of the general response factor on the structural determinants using the previous models.Findings – We identified a single second-order latent factor underlying the 10 attitudes and perceptions which represented the “general subjective response” of workers. This supported the concept of a dispositional effect. We then found that structural factors had a minimal effect on the subjective response, but that informal arrangements had a very strong effect. This undermined the first two theories and supported the third.Implications – Worker attitudes and perceptions are very resilient to different formal work arrangements but are highly influenced by the informal arrangements negotiated between workers and frontline management. Organizations can have the strongest effect on developing worker support by empowering frontline managers to make informal deals on workplace rules.Originality/value – This study offers a means to probe the relationship between formal and structural and the informal and subjective worlds of the workplace.

The purpose of this paper is to examine the impact of the dimensions of innovation on manufacturing firm performance taking into consideration the moderating role of environmental uncertainty among these relationships.

A research study was carried out using a sample of 580 Greek manufacturing firms. Exploratory and confirmatory factor analyses were applied to extract and validate the latent factors. K-means cluster analysis was also applied in order to group the responding firms. Finally, the structural relationships among the latent factors were determined through structural equation modeling.

According to the study findings, only three dimensions of innovation performance directly contributes to business performance. Moreover, this paper shows the differential effects of firm innovativeness on business performance under the influence of environmental uncertainty.

The sample of the responding firms which is limited to the Greek manufacturing sector and the subjective business evidence coming from only one firm representative constitute the main limitations of the present study.

Firms can properly manage innovation dimensions. In case of high uncertainty, they should focus on product, marketing and process innovation, while in case of low uncertainty the focus should be on process, organization and product innovation.

Based on the multi-dimensional structure, this empirical study determines the contribution of innovation performance to business performance taking into consideration the role of environmental uncertainty as moderator on this relationship.