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Using opto‐electronic industries as the example, the purpose of this paper is to include: designing reliable performance perspectives and indicators for evaluating ISO‐certified industries; and constructing a performance relationship model of those ISO‐certified industries.

This paper introduces the concept of the balanced scorecard as the performance measurement for ISO‐certified industries, and adopts structural equation modelling to verify the causal relationship amongst the performance perspectives. The paper takes three opto‐electronic companies in Taiwan as evidence cases. The valid response numbers to the survey are 177.

The research results indicate that the performance measurement indicators developed by this paper are effective in the ISO‐certified opto‐electronic industries. The evaluation indicators are comprised of five perspectives: finance, customer, internal process, learning and growing, and corporate mission. A causal relationship is found to exist among the five perspectives.

This paper uses only the opto‐electronic industry as the research case. However, different industry types can have different research findings and this will lead to different results.

Applying the proposed measurement indicators and model would aid enterprises to effectively measure the effect of being ISO‐certified, and understanding the causal relationships amongst performance perspectives. Thus, enterprises could identify all determining items of performance and use these results as a basis for further improvement.

This paper aims to establish performance measurement indicators and a relationship model for the manufacturing industry certified by ISO. A set of performance measurement indicators and a relationship model are derived. This paper has made a contribution to the academic and practical areas.

This study aims to examine how students with different goals differ in their subjective well-being, including academic self-efficacy (ASE) and affect at school (AAS). There are four goal orientations that motivate students to achieve academic performance. Therefore, this study examined the relationship between the four dimensions of achievement goals (AGs), ASE and AAS. It also examined five relationship models between these variables.

This study was conducted using a survey method with a questionnaire on 516 students at several private universities in Yogyakarta who have been studying for at least two years. After testing the validity and reliability of the measurements, correlation testing was conducted to determine the relationship between the two variables. Furthermore, testing of the five relationship models was conducted using structural equation modeling (SEM) with a two-step approach.

The findings showed that each goal was directly related to students' well-being with a diverse relationship nature. Furthermore, mastery-approach goals (MApGs) were the types that most consistently have a positive effect on students' well-being. Also, performance-avoidance goals (PAvGs) consistently and negatively affected students' well-being, while performance-approach goals (PApGs) produced various influences and relationships. In addition, mastery-avoidance goals (MAvGs) are among the four AGs that still need to be studied, especially in educational settings. This is because they had no effect on ASE either directly or indirectly.

The limitation of this study was using cross-sectional data and self-report in data collection. Furthermore, the respondents were limited to private university students, and they were few in number.

MApGs had a positive effect on ASE and AAS, while PAvGs can reduce ASE and cause negative effects. Therefore, higher institutions in Indonesia need to provide a curriculum that can increase students' curiosity, creativity and involvement in the learning process. This will make them confident in their abilities and have a positive attitude in school and the society. Also, this study showed that a PApG is not a negative goal because it can increase students' confidence in their abilities. This competency feeling needs to be fostered because it encourages them to increase knowledge and learning content, as well as increase their positive effects.

This paper addressed the need to understand how to generate and increase students’ motivation.

This paper aims to address the complex nature of social performance (CSP/CSR) in building a trust-based consumer relationship. The relative and aggregate influence of corporate functional performance, corporate social performance (CSP) and shared values within a trust-based customer–brand relationship and their impact on behavioral loyalty in the forms of retention, referral and ease of voice are empirically tested.

Respondents were recruited to participate in a study on ice cream shop preferences. Structural equation modeling was used to simultaneously test the effects of independent variables on dependent variables.

Shared values mediate the effect that CSP has on trust and all loyalty behaviors. Trust has a significant influence on one behavior:retention.

The findings may be specific by industry, product type or consumer involvement. Further tests should be performed with varying levels of each.

Millennial consumers expect organizations/brands to engage in CSR activities, and, because of increased CSP reporting, are aware of an organization’s CSR efforts. If the CSP does not reflect the customer’s value system (shared values), the long-term relationship can be impacted negatively. Firms must strategically consider the values communicated by their CSR activities to build and care for long-term relationships with their target consumer.

This research is the first to integrate and test a comprehensive consumer relationship model of CSP.

The purpose of this paper is to analyse and predict the housing prices in Petaling district, Malaysia and its six sub-regions with a set of housing attributes using functional relationship model.

A new multiple unreplicated linear functional relationship model with both the response and explanatory variables are subject to errors is proposed. A total of 41,750 housing transacted records from November 2008 to February 2016 were used in this study. These data were divided into 70% training and 30% testing sets for each of the selected sub-regions. Individual housing price was regressed on nine housing attributes.

The results showed the proposed model has better fitting ability and prediction accuracy as compared to the hedonic model or multiple linear regression. The proposed model achieved at least 20% and 40% of predictions that have less than 5% and 10% deviations from the actual transacted housing prices, respectively. House buyers in these sub-regions showed similar preferences on most of the housing attributes, except for residents in Shah Alam who preferred to stay far away from shopping malls, and leasehold houses in Sri Kembangan are more valuable. From the h-nearest houses indicator, it is concluded that the housing market in Sungai Buloh is the most volatile in Petaling District.

As the data used are the actual housing transaction records in Petaling District, it represents only a segment of Malaysian urban population. The result will not be generalized to the entire Malaysian population.

This study is expected to provide insights to policymakers, property developers and investors to understand the volatility of the housing market and the influence of determinants in different sub-regions. The potential house buyers could also use the model to determine if a house is overpriced.

This study introduces measurement errors into the housing attributes to provide a more reliable analysis tool for the housing market. This study is the first housing research in Malaysia that used a large number of actual housing transaction records. Previous studies relied on small survey samples.

This paper aims to propose a framework for examining and understanding corporate commitment amongst teleworking employees that deconstructs and expands upon approaches to date. It seeks to propose a perspective from which apparent tensions highlighted in existing studies can be understood and explored, and to suggest new relationships and combinations of conditions that impact on the communication practices and assumptions of both managers and employees.

The approach to data collection and analysis is qualitative and interpretive, with primary data obtained by means of semi‐structured interviews subsequently analysed using both open and focussed coding. This method was selected because the dimensions and implications of communication practices in this particular context were largely unknown.

This study illustrates the significance of distinguishing between the needs that underpin employees' choosing to continue the relationship and their readiness to act in the organisation's interests. It also demonstrates that categorising the nature of the organisational relationship by identifying employees' mental relationship models may be, if not more useful than identifying types of commitment, at least additionally useful in understanding how organisational commitment in remote workforces is constructed and perpetuated.

This study and the framework it proposes for understanding commitment adds to existing research into remote workforce commitment in that it suggests new ways in which to conceptualise and examine what studies to date have identified as its constituent elements and antecedents. In particular, it facilitates debate and discussion regarding the ways the range of influences on behaviours identified as “committed” interrelate, as well as regarding the way employees' disposition may alter the perceived meaning of such behaviours.

In order to improve the current level of agricultural informatization and the large deviation of economic growth. Combining the cost input of the green ecological environment and the level of economic growth, the relationship model between the level of agricultural informatization and economic growth is established in the green ecological environment.

The authors establish an evaluation index system for the level of agricultural informatization and calculate the total index of agricultural informatization under the index system. Combining the cost input of the green ecological environment and the level of economic growth, the authors establish the relationship model between the level of agricultural informatization and economic growth in the green ecological environment.

The research results show that the regression coefficient of determination including agricultural informatization elements from 2014 to 2018 is 5.105466, indicating that the model fits well. The sum of the variables is greater than 1, indicating that the mutual influence of agricultural informatization factors is also obvious. The condition of the hypothesis test in this study is significant (5%), which shows the positive relationship between the elastic coefficient of agricultural informatization and the elements of informatization. The results show that the continuous advancement of the informatization process can effectively promote agricultural economic growth.

The condition of the hypothesis test in this study is significant (5%), which shows the positive relationship between the elastic coefficient of agricultural informatization and the elements of informatization. The continuous advancement of the informatization process can effectively promote agricultural economic growth.

Purpose – The purpose of this paper is to identify and analyze factors influencing the mutual relationship between patients and medical units in the virtual environment. Since introduction of the internet and other electronic tools for medical services provision is at the very initial stage, it is necessary to examine factors which condition engagement of patients and medical units in building bilateral relations in a new virtual environment and to develop relationship models on the health services market. Design/methodology/approach – The paper presents findings of the field study conducted in Poland, being a representative market under transition. Surveys were conducted among patients and medical units by means of structured questionnaires. The identification of relationship factors was based on the approach used in consumer behavior models, where the method of the so‐called summary of variables is left behind. Findings – According to research results, the most important factors affecting relationships between patients and medical units in the virtual environment include: the motivation, ability and market opportunity. With respect to patients, the most powerful factor is represented by the ability, whereas with respect to medical units by the market opportunity. Practical implications – Identified factors and developed models may be widely applied in practical operation of medical units, particularly in developing marketing programs for introduction of virtual service and communication tools, as well as in building patient loyalty programs. Originality/value – The paper is one of the first to have defined factors determining relationships on the virtual healthcare market and to have provided useful insights into the subject. Moreover, it constitutes a basis for future studies. The findings can greatly contribute to development of customer behavior and partnership marketing theories.

Presents a communications relationship model for setting promotional goals. The model divides promotional objectives into short, mid‐ and long‐range goals and helps present advertising and related promotional tools as an ongoing process. Its focus is primarily on how advertising and related communications engineer situations and the importance of gearing advertisements that maximize subsequent advertisements′ effectiveness. The model has multiple uses and can be used by different advertising stakeholders such as advertising designers, sellers and managers, as well as end users.

The rate of project failure across the globe seems to reinforce poor performance as a norm. However, engagement with construction digitalisation (CD) represents a departure point for improving project performance. Amidst researchers' recent empirical engagement with CD, the knowledge of the relationship model between CD and project delivery (PD) is abysmal. As a result, developing a business case for CD in developing countries has been slow due to the dearth of empirical evidence. This paper aims to investigate the influence of digitalisation on project performance.

Anchored on cross-sectional survey research design using a questionnaire survey in which a total of 183 copies of structured questionnaires were randomly distributed to medium- and large-sized construction firms operating in Abuja, Nigeria's federal capital. A total of 126 valid responses were received giving an overall response rate of 68.8%. The responses were analysed using mean item score, principal component analysis and multiple linear regression.

Findings from the regression analysis reveal that digitalisation has varying levels of impact on PP measured using quality, time and cost. The relationship model with time performance is weak (r = 0.526, r² = 0.277); on cost performance, the significant model is also weak (r = 0.502, r² = 0.252) and moderate on quality (r = 0.663, r² = 0.439). CD influences project cost, time and quality performance despite the weak relationship model. The results indicate that the most effective benchmark of CD is quality performance.

This study established the relationship between digitalisation and construction PD within the construction industry context, an area lacking research attention in emerging economies. This study is the first study in emerging economies that established the influence of digitalisation on construction PD statistically.

To determine how to best deploy the Triple-A supply chain (SC) capabilities (AAA-agility, adaptability and alignment) to improve competitive advantage (CA) by identifying the Triple-A SC model with the highest CA predictive capability.

Assessment of in-sample and out-of-sample predictive capacity of Triple-A-CA models (considering AAA as individual constructs) to find which has the highest CA predictive capacity. BIC, BIC-Akaike weights and PLSpredict are used in a multi-country, multi-informant, multi-sector 304 plant sample.

Greater direct relationship model (DRM) in-sample and out-of-sample CA predictive capacity suggests DRM's greater likelihood of achieving a higher CA predictive capacity than mediated relationship model (MRM). So, DRM can be considered a benchmark for research/practice and the Triple-A SC capabilities as independent levers of performance/CA.

DRM emerges as a reference for analysing how to trigger the three Triple-A SC levers for better performance/CA predictive capacity. Therefore, MRM proposals should be compared to DRM to determine whether their performance is significantly better considering the study's aim.

Results with our sample justify how managers can suitably deploy the Triple-A SC capabilities to improve CA by implementing AAA as independent levers. Single capability deployment does not require levels to be reached in others.

First research considering Triple-A SC capability deployment to better improve performance/CA focusing on model's predictive capability (essential for decision-making), further highlighting the lack of theory and contrasted models for Lee's Triple-A framework.