Confirmatory tetrad analysis in PLS path modeling

The authors propose a CTA-PLS assessment routine for measurement models. This routine applies confirmatory tetrad analysis (CTA) in a manner which is consistent with partial least squares (PLS) path modeling assumptions. The conceptualization employs a bootstrapping procedure to accomplish an appropriate statistical test examining vanishing tetrads in CTA-PLS. The approach allows distinguishing a formative indicator specification from a reflective indicator specification. Applications using experimental and empirical data demonstrate the usefulness and effectiveness of CTA-PLS. As a means of evaluating PLS path modeling results, the routine assists researchers in avoiding potentially unrepresentative consequences of measurement model misspecification.     

Formative versus reflective measurement models: Two applications of formative measurement

This paper presents a framework that helps researchers to design and validate both formative and reflective measurement models. The framework draws from the existing literature and includes both theoretical and empirical considerations. Two important examples, one from international business and one from marketing, illustrate the use of the framework. Both examples concern constructs that are fundamental to theory-building in these disciplines, and constructs that most scholars measure reflectively. In contrast, applying the framework suggests that a formative measurement model may be more appropriate. These results reinforce the need for all researchers to justify, both theoretically and empirically, their choice of measurement model. Use of an incorrect measurement model undermines the content validity of constructs, misrepresents the structural relationships between them, and ultimately lowers the usefulness of management theories for business researchers and practitioners. The main contribution of this paper is to question the unthinking assumption of reflective measurement seen in much of the business literature.     

Bridging Design and Behavioral Research With Variance-Based Structural Equation Modeling

Advertising research is a scientific discipline that studies artifacts (e.g., various forms of marketing communication) as well as natural phenomena (e.g., consumer behavior). Empirical advertising research therefore requires methods that can model design constructs as well as behavioral constructs, which typically require different measurement models. This article presents variance-based structural equation modeling (SEM) as a family of techniques that can handle different types of measurement models: composites, common factors, and causal–formative measurement. It explains the differences between these types of measurement models and clears up possible ambiguity regarding formative endogenous constructs. The article proposes confirmatory composite analysis to assess the nomological validity of composites, confirmatory factor analysis (CFA) and the heterotrait-monotrait ratio of correlations (HTMT) to assess the construct validity of common factors, and the multiple indicator, multiple causes (MIMIC) model to assess the external validity of causal–formative measurement.     

Customer equity management as formative second-order construct

Despite intensive discussions about customer equity, little research addresses how to manage customer equity from a firm's perspective. Recent literature proposes various concepts of customer equity management but does not feature an empirical study that identifies and quantifies activities that aim explicitly to maximize customer equity. In the current study, the authors develop a formative measurement instrument for customer equity management as a second-order construct that indicates how intensively firms orient their customer management toward customer value and equity. The study presents a complete process for conceptualizing and operationalizing a formative second-order construct, including a thorough literature review, intensive qualitative research, and a quantitative study with 92 customer equity managers. On the basis of this process, the authors model customer equity management as a function of three formative dimensions - customer equity analysis, customer equity strategy, and customer equity actions - measured by several formative indicators. The resulting formative operationalization satisfies the criteria for evaluating formative indexes.     

产业内贸易指标述评

自20世纪90年代以来,产业内贸易(ⅡT)指标从标准G-L指数不断发展为新的分类指标、动态指标和一些扩展指标.这些指标使我们对ⅡT的经验研究不再局限于简单的系数估计,而是可以依据研究目标来检验ⅡT理论的适用性,预测具体的ⅡT模式,以及估计贸易扩张的动态调整效果等.本文尝试将这些ⅡT指标及其适用范围进行综述,以期对人们进行有关研究有所裨益.     

Questions about formative measurement

A growing body of literature addresses the issue of formative measurement. However, questions remain regarding the nature of formative measures, their properties, and their usefulness, especially in the context of theory testing and structural equations modeling. This paper poses an incomplete list of questions and suggests possible answers to them, and concludes that the use of formative measurement remains problematic in theory testing research.     

Functional income distribution,capacity utilization,capital accumulation and productivity growth in Turkey: A post-Kaleckian analysis

The aim of this article is to examine the relation between functional income distribution, capacity utilization, capital accumulation and productivity in Turkey by identifying demand and overall regimes prevalent in the economy. For this purpose, we conducted an empirical analysis using different specifications of the post-Kaleckian model of Hein and Tarassow. This model defines and characterizes an overall regime by endogenizing productivity growth and integrating it into the models in this tradition. Empirical findings show that while the demand regime is wage-led, the overall regime turns out to be unstable in Turkey due to the destabilizing impact of productivity growth. This article contributes to the literature by being the first study that simultaneously identifies the demand and the overall regimes of an economy.     

The Relationships of Customer-Perceived Value,Satisfaction, Loyalty and Behavioral Intentions

Abstract

The concept of Customer-Perceived Value (CPV) has become a matter of increasing concern in marketing literature. However, there are few empirical studies that attempt to examine the notion of it. Filling this gap, this study provides a conceptual as well as empirical investigation of CPV as a formative construct and also offers an insight regarding the role of CPV in influencing, through satisfaction and loyalty, the behavioral intentions of word of mouth, repurchase intention and cross-buying. Furthermore, the potential moderating role of social pressure in the relationship between satisfaction and loyalty is also examined. The results suggest that delivering superior customer value enables a firm to achieve favorably behavioral intentions. Implications for practice, study limitations and future research are discussed.     

Riding the waves of family firm internationalization: A systematic literature review,integrative framework,and research agenda

Despite the proliferation in research efforts, family firm (FF) internationalization scholarship suffers from fragmentation, theoretical limitations, and empirical indeterminacy, leaving important facets unexplored. This article’s purpose is to unpack how this body of research has evolved over time and interfaces international business (IB) theory. We conduct a systematic literature review of relevant theoretical and empirical studies covering the last 30 years of research and comprising 134 articles. Our study contributes to this corpus of knowledge by identifying and discussing four evolutionary waves of FF internationalization research. We further advance an integrative framework that offers a comprehensive understanding of the state-of-the-art as well as promising avenues for future research at the intersection of IB and FFs.     

Comment on “Improper use of endogenous formative variables”

Cadogan and Lee's point can be made simpler by referring to the basic math underlying these relationships. The larger problem with this paper, as with the bulk of the formative measurement literature, is a failure of imagination, which is holding back progress in a variety of fields.     

Hedging under model misspecification: All risk factors are equal,but some are more equal than others …

It is often difficult to distinguish among different option pricing models that consider stochastic volatility and/or jumps based on a cross‐section of European option prices. This can result in model misspecification. We analyze the hedging error induced by model misspecification and show that it can be economically significant in the cases of a delta hedge, a minimum‐variance hedge, and a delta‐vega hedge. Furthermore, we explain the surprisingly good performance of a simple ad‐hoc Black‐Scholes hedge. We compare realized hedging errors (an incorrect hedge model is applied) and anticipated hedging errors (the hedge model is the true one) and find that there are substantial differences between the two distributions, particularly depending on whether stochastic volatility is included in the hedge model. Therefore, hedging errors can be useful for identifying model misspecification. Furthermore, model risk has severe implications for risk measurement and can lead to a significant misestimation, specifically underestimation, of the risk to which a hedged position is exposed. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark     

Strategic Interaction and Trade Policymaking: Formal Analysis and Simulation

This paper introduces a simple game‐theoretic model and a Monte Carlo simulation of trade negotiations with the aim of identifying the nature of the selection bias that may threaten valid inference from empirical tests relying on data from trade disputes. Insights from the formal model are used to critically engage recent empirical analyses. This model is applied more specifically to the American use of Section 301 as an instrument to prise open foreign markets. The results of the game‐theoretical model and the Monte Carlo simulation demonstrate that, despite significant statistical results, models of trade negotiations might potentially suffer from misspecification due to non‐random selection effects.     

Towards a model of destination innovation process: an integrative review

The goal of the present paper is to integrate five types of literature related to the innovation process (i.e. cluster theory, innovation systems, network relations, knowledge management, and innovation types) and apply them to the local tourism destination to build a destination innovation process model with macro and micro perspectives. The suggested models intend to broaden the thinking on destination innovation process for tourism-related agents at the local and national level. The paper undertakes a careful review of the relevant literature before creating the conceptual models. The paper’s novelty and uniqueness lies in suggesting a new conceptual model of addressing how innovation competence of tourism destinations can be developed, and offering insight for tourism-related agents at the local and national level into how to effectively create and manage innovations. Future research should undertake empirical studies to test the integrated models presented in this conceptual paper.     

Analyzing the relationship between CSR and reputation in the banking sector

Theoretical studies form the core of the literature on the relationship between corporate social responsibility (CSR) and bank reputation, with few empirical applications discussing the validity of these theoretical proposals. Additionally, the evidence for the links between CSR aspects and bank reputation is inconclusive. This study aims to shed light on the impact of CSR on bank reputation. First, a systematic review of the literature on the empirical studies that relates CSR to bank reputation is performed. These studies indicate significant discrepancies in the measurement of CSR and its links with bank reputation. Second, an empirical study is presented in order to test the impact that CSR (employer branding, integrity and social action) has on the reputation of leading banks in the United Kingdom and Spain. The results obtained call into question the ability of CSR to improve a banking reputation in an unstable financial system.     

Purging data before productivity analysis

Studies of productivity often ignore measurement error and fail to distinguish between exogenous and endogenous factors in adjusting for the environment. This failure may misguide managerial decisions on benchmarking, ranking, and remuneration. For example, common relative efficiency techniques such as data envelopment analysis (DEA) assume away the measurement error. This article combines DEA with stochastic frontier analysis in a synergistic multiple-stage analysis to purge the estimate of managerial performance of measurement error and exogenous factors. Removing the impact of measurement error indicates the largest rise in productivity. Removing the impact of exogenous factors raises discriminatory power. The method offers a number of innovations over other studies in the literature. The article is also the first to investigate the profit efficiency of the commercial banks in the United Arab Emirates.     

Testing Gibrat’s Law: Empirical Evidence from a Panel of Portuguese Manufacturing Firms

The purpose of this paper is to use Dynamic Panel Data (DPD) models with serial correlation in the error term to see if Gibrat’s law holds and to analyse the empirical determinants of firm growth. This paper makes significant contributions to the empirical literature on the dynamics of firm growth, since it updates the work carried out by previous researchers in this field using micro panel data, dynamic firm growth models with serial correlation in the error term, panel unit root tests and GMM‐system estimator. To conduct this study we used an unbalanced panel of Portuguese manufacturing firms over the period from 1990 to 2001. The main implication of our findings is that firm growth is not quite random since there are some determinants which exert influence on firm growth.     

Measuring Corporate Social Performance in France: A Critical and Empirical Analysis of ARESE Data

This article studies the idea of Corporate Social Performance (CSP) from a critical perspective using empirical elements derived from analysis of year 2000 ARESE data. ARESE is the French first mover social rating agency providing quantified data about the Social Performance of French companies. The paper starts out by reviewing leading CSP models and discussing problems inherent to the measurement of this construct before going on to present and analyse ARESE data - whose suitability for existing models will be discussed.     

Service value revisited: Specifying a higher-order, formative measure

Recent marketing literature pays particular attention to customer value because of the potential impact on customer behavior and, ultimately, firm performance. Whereas some studies conceptualize customer value in a unidimensional manner, more recent approaches take a multidimensional approach, generally conceptualizing value as composed of various benefits and sacrifices. However, nearly all of these studies consider value components in a reflective manner, which is not only problematic but in many cases conceptually incorrect. In addition, recent customer value research includes service components to define and operationalize the construct. This study suggests that customer value in service contexts, or service value, represents a higher-order, formative construct with benefit and sacrifice components. Specifically, the authors propose a formative model of service value with four components: service quality, service equity, confidence benefits, and perceived sacrifice. A multiple-industry study substantiates the contention that this higher-order, formative approach best models value. The results theoretically and empirically support the conceptualization of service value with formative components, and the measure is robust and works well across multiple service contexts.     

Specifying formatively-measured constructs in endogenous positions in structural equation models: Caveats and guidelines for researchers

Formatively-measured constructs (FMCs) are increasingly used in marketing research as well as in other disciplines. Although constructs operationalized by means of formative indicators have mostly been placed in exogenous positions in structural equation models, they also frequently occupy structurally endogenous positions. The vast majority of studies specifying endogenously-positioned FMCs have followed the common practice of modeling the impact of antecedent (predictor) constructs directly on the focal FMC without specifying indirect effects via the formative indicators. However, while widespread even in top journals, this practice is highly problematic as it can lead to biased parameter estimates, erroneous total effects, and questionable conclusions. As a result both theory development and empirically-based managerial recommendations are likely to suffer. Against this background, the authors offer appropriate modeling guidelines to ensure that a conceptually sound and statistically correct model specification is obtained when a FMC occupies an endogenous position. The proposed guidelines are illustrated using both covariance structure analysis (CSA) and partial least squares (PLS) methods and are applied to a real-life empirical example. Implications for researchers are considered and ‘good practice’ recommendations offered.     

Responsibility of the University in Employability: Development and validation of a measurement scale across five studies

This paper develops and validates, at a confirmatory level, a second‐order scale to measure Responsibility of the University in Employability (RUE). First, the literature on the components of RUE is explored and a formative conceptual model is proposed to underpin its measurement using extant research in the field of organisational responsibility and employability. At the empirical level, the second‐order RUE model considers the reputation of the university, the teaching staff, and the matching activities with employers as components of RUE. This model is based on five empirical studies. The first is a small‐sample study based on the opinions of experts (n = 5) and the rest are based on representative samples of university students (n = 816, n = 1,082, n = 1,088, and n = 1,203). A very good fit between model and data were revealed (CFI = 0.975; RMSEA = 0.039; standardised X² = 2.676). The results indicate that matching activities with employers and teaching staff generate more RUE than university reputation. Guidelines are offered for managing the responsibility of the university in employability.