scholarly journals Scale Development of Formative Higher Order Construct: Situational Strength at Work

2020 ◽  
Vol 13 ◽  
pp. 15-24
Author(s):  
Pınar Özbilen
Keyword(s):  
Scale Development ◽  
Higher Order ◽  
Situational Strength ◽  
Order Construct

The role of service fairness in the service quality – relationship quality – customer loyalty chain

2015 ◽  
Vol 25 (6) ◽  
pp. 744-776 ◽  
Author(s):  
Apostolos Giovanis ◽  
Pinelopi Athanasopoulou ◽  
Evangelos Tsoukatos
Keyword(s):  
Service Quality ◽  
Relationship Quality ◽  
Customer Loyalty ◽  
Higher Order ◽  
Equation Modeling ◽  
Content Type ◽  
Order Construct ◽  
Service Fairness

Purpose – The purpose of this paper is to extend the well-established nomological network of service quality-relationship quality-customer loyalty by introducing service fairness – a distinct service evaluation concept. Specifically, the study aims to investigate the impact of service fairness on relationship quality as a complementary to service quality driver, and the direct and indirect effect of service fairness on customer loyalty in the presence of service quality and relationship quality in a no failure/recovery effort service context. Design/methodology/approach – A telephone survey of a random sample of 408 customers of auto repair and maintenance services was implemented using a structured questionnaire with established scales. Data were analyzed with partial least squares path methodology, a structural equation modeling methodology. Findings – Interactional fairness is the most important formative determinant of customers’ overall fairness perception, followed by procedural and distributive fairness. Relationship quality measured as a higher order construct, made of satisfaction; trust; affective and calculative commitment, is the main determinant of customer loyalty. Also, it partially mediates, along with service quality, the relationship between service fairness and customer loyalty and fully mediates the effect of service quality on customer loyalty. Finally, service fairness has the highest overall effect on customer loyalty. Research limitations/implications – The sample is industry-specific and this may affect generalizability of findings. Also, the cross-sectional design adopted does not reflect temporal changes. Practical implications – Interactional fairness is of utmost importance to customers of the investigated industry. So, customers should be fairly treated at every point of contact. Also, service quality is heavily affected by service fairness. Thus, fair service leads to high-perceived service quality. Third, service quality affects customer loyalty only through relationship quality. Only when service quality is coupled by long-term quality relationships, signs of customer loyalty appear. Finally, service fairness influences customer loyalty mainly through service and relationship quality and has the highest overall effect on customer loyalty. So, fairly treating customers is crucial for developing long-term relationships that lead to customer loyalty. Originality/value – The role of service fairness in the service quality-relationship quality-customer loyalty chain is investigated and using a higher order construct for relationship quality.

scholarly journals Chocolate craving when depressed: a personality marker

2007 ◽  
Vol 191 (4) ◽  
pp. 351-352 ◽  
Author(s):  
Gordon Parker ◽  
Joanna Crawford
Keyword(s):  
Depressive Symptoms ◽  
Higher Order ◽  
Depression Symptoms ◽  
Personality Style ◽  
Web Based ◽  
Atypical Depression ◽  
Order Construct ◽  
Simple Question ◽  
Personality Facets ◽  
Dsm Iv

SummaryWe examined links between chocolate craving in people who are depressed and both personality style and atypical depressive symptoms, with a web-based questionnaire completed by nearly 3000 individuals reporting clinical depression. Chocolate was craved by half of the respondents (more so by women), judged as beneficial for depression, anxiety and irritability, and associated specifically with personality facets encompassed by the higher-order construct of neuroticism. The simple question of depression-associated chocolate craving appeared an efficient discriminator of DSM – IV atypical depression symptoms.

scholarly journals Measuring Total Rewards Satisfaction: A Scale Development Study

2021 ◽  
Author(s):  
Jeeta Sarkar
Keyword(s):  
Higher Order ◽  
Second Order ◽  
Dimensional Structure ◽  
Factor Analyses ◽  
Reliable Measure ◽  
Data Set ◽  
First Order ◽  
Total Rewards ◽  
Order Construct ◽  
Confirmatory Analysis

<p></p><div> <p></p><p>Total Rewards Strategy has been used as a viable strategy to motivate and retain employees across sectors. It has also been widely studied by the scholars and researchers across the globe leading to a number of scales measuring total rewards measuring preferences, and perceptions, ignoring its satisfaction aspect. However, the existing scales have been found to display construct related weaknesses in terms of under-representation of total rewards as a multidimensional construct and measuring it as a reflective higher-order construct. Analyzing findings of literature review and factor analyses, the authors confirm total rewards as a second-order formative construct. The purpose of this study is to develop a valid and reliable measure of total rewards satisfaction (TRS) as a formative higher order construct. Different phases of quantitative validations were carried out with a new data set for each of the studies viz. content validity (n = 13 experts), exploratory factor analysis (n = 180) for determining factorial structure of the scale, first-order confirmatory composite analysis (n = 215) and second-order confirmatory analysis (n= 120) confirm a six-dimensional structure of 23-item TRS scale. The psychometric properties of the scale have also been reported. The scale demonstrates internal consistence, reliability and construct validity.</p><br><p></p></div><p></p>

Measurement of intangible assets using higher-order construct model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chalachew Almaw Tefera ◽  
William D. Hunsaker
Keyword(s):  
Structural Equation ◽  
Intangible Assets ◽  
Organizational Outcomes ◽  
Higher Order ◽  
Equation Modeling ◽  
Integrative Approach ◽  
Content Type ◽  
Proposed Model ◽  
Study Results ◽  
Order Construct

Purpose Intangible assets (IA) have been described as a multidimensional concept. However, there is a gap in research that considers IAs as a higher-order construct (HOC). Therefore, this paper aims to focus on demonstrating how IAs can be properly specified and measured as HOCs, given IA’s four major dimensions in small- and medium-sized enterprises (SMEs). Design/methodology/approach A HOC model is applied using a partial least squares–structural equation modeling (PLS-SEM) repeated-indicator approach. This approach helps validate the argument for considering IAs as HOCs by testing the basic requirements of the construct model. Findings The main finding from testing the model’s reliability, validity, multicollinearity and redundancy analysis indicates that the establishment of IAs as a HOC model is valid. Additionally, the simulation study results support the use of the proposed model. Research limitations/implications The proposed model is believed to enhance the proper understanding of IAs and their relationship with organizational outcomes. Additionally, the model can inform organizational management of the integrative approach needed to effectively synchronize their strategic resources for improved performance of entrepreneurially growing SMEs. Originality/value This paper is the first to show the measurement of IAs as HOCs using PLS-SEM, based on IA’s updated dimensions. The authors believe that this paper paves the way for future discussion on IA measurement to conduct rigorous impactful studies with larger sample size.

Development of a core confidence-higher order construct.

2006 ◽  
Vol 91 (6) ◽  
pp. 1208-1224 ◽  
Author(s):  
Alexander D. Stajkovic
Keyword(s):  
Higher Order ◽  
Order Construct

Overcoming Job Insecurity: Examining Grit as a Predictor

2019 ◽  
Vol 61 (2) ◽  
pp. 199-212
Author(s):  
Sean McGinley ◽  
Anna S. Mattila
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Turnover Intentions ◽  
Job Insecurity ◽  
Career Change ◽  
Higher Order ◽  
Employment Retention ◽  
Confirmatory Factor ◽  
Order Construct ◽  
Hotel Managers

Advancing a nascent stream of research linking grit to employment retention, this article investigated how job insecurity interacted with a person’s level of grit to predict turnover intentions and career change intentions of hotel managers. Based on a confirmatory factor analysis, grit was found to be a valid higher order construct that had an effect on turnover and career change intentions, and the effect was moderated by feelings of job insecurity. Specifically, when hotel managers reported less job insecurity, grit did not have a significant association with turnover and career change intentions. However, when job insecurity levels increased, hotel managers who were grittier also reported lower levels of turnover and career change intentions.

Investigating the role of demand planning as a higher-order construct in mitigating disruptions in the European supply chains

2020 ◽  
Vol 31 (3) ◽  
pp. 665-696 ◽  
Author(s):  
Artur Swierczek
Keyword(s):  
Supply Chains ◽  
Planning Process ◽  
Contextual Factors ◽  
Higher Order ◽  
Dynamic Capability ◽  
Content Type ◽  
Demand Planning ◽  
Operational Risks ◽  
Order Construct ◽  
The Impact

PurposeThe goal of the paper is twofold. First, it aims to empirically conceptualize whether a wide array of fragmented demand planning activities, performed in supply chains, can be logically categorized into actionable sets of practices, which then form a broader conceptualization of the demand planning process. Second, regarding certain contextual factors, our research seeks to investigate the contribution of demand planning, as a higher-order construct, to mitigating disruptions induced by operational risks in supply chains.Design/methodology/approachIn this study, PLS-SEM was used to estimate the reflective-formative nature of the model. The results of PLS-SEM were additionally complemented by the assessment of the predictive power of our model. Finally, to reveal possible contingency effects, the multigroup analysis (MGA) was conducted.FindingsThe study suggests that demand planning process (DPP) is a second-order construct that is composed of four sets of practices, including goal setting, data gathering, demand forecasting, communicating the demand predictions and synchronizing supply with demand. The study also reveals that the demand planning practices, only when considered together, as a higher-order factor, significantly contribute to mitigating disruptions driven by operational risks. Finally, the research shows that the strength of the impact of demand planning on disruptions is contextually dependent.Research limitations/implicationsWhile the study makes some important contributions, the obtained findings ought to be considered within the context of limitations. First, the study only investigates disruptions driven by operational risks, ignoring the negative consequences of environmental risks (terrorist attacks, natural disasters, etc.), which may have a far more negative impact on supply chains. Second, the sample is mostly composed of medium and large companies, not necessarily representative of demand planning performed by the entire spectrum of companies operating in the market.Practical implicationsThe study shows that to effectively mitigate disruptions induced by operational risks, the demand planning practices should be integrated into a higher-order construct. Likewise, our research demonstrates that the intensity of demand planning process is contingent upon a number of contextual factors, including firm size, demand variability and demand volume.Social implicationsThe study indicates that to mitigate disruptions of operational risk, demand planning as a higher-order dynamic capability can be referred to the concept of organizational learning, which contributes to forming a critical common ground, ensuring the balance between formal and informal dynamic routines.Originality/valueThe paper depicts that to fully deal with disruptions, the demand planning practices need to be integrated and categorized into the dedicated higher-order. This may lead to forming demand planning as a higher-order dynamic capability that provides a more rapid and efficient rebuttal to any disruptions triggered by operational risks.

scholarly journals A Construct Validation Approach for Exploring Sustainability Adoption in Pakistani Construction Projects

Buildings ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 207
Author(s):  
Mehfooz Ullah ◽  
Muhammad Waris Ali Khan ◽  
Ammar Hussain ◽  
Faisal Rana ◽  
Asadullah Khan
Keyword(s):  
Developing Countries ◽  
Construction Projects ◽  
Measurement Model ◽  
Higher Order ◽  
Second Order ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Construction Firms ◽  
Order Construct

Sustainable Project Management (SPM) is a novel theme in construction industries of developing countries and very little is known (so far) about the sustainability performance of construction projects in those settings. Accordingly, the quantitative measurement of SPM as a higher-order construct is not well established and lacks a holistic approach and homogenous taxonomy of indicators. This study explores the SPM practices of construction firms by validating SPM as a second-order construct in the Pakistani construction industry. Data were obtained from 146 construction firms, which were then analyzed using partial least square structure equation modeling. Results of the first and second level measurement model assessments showed that construction firms practice SPM, with varying degrees of attention paid to three sustainability aspects. Environmental dimension surfaced as the most important, in-terms of practice and social sustainability as least. The analysis of the second-order measurement model yielded significant results, thus, validating the higher-order structure of SPM. This study contributes to the field by presenting one of the first studies of its kind by focusing on the sustainability practices of construction firms by using a higher-order design of SPM construct within the context of developing countries.

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