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Economic globalization is leading large companies to focus on international strategic management. Nowadays, the assets referred to as “corporate intangibles,” such as corporate reputation, are becoming increasingly important because they are considered a key factor for the viability of an organization, and companies therefore need to incorporate them into their scorecards for management. The problem is that their measurement is subjective and latent. These two characteristics impede direct international comparison and require demonstrating the accuracy of comparison via a minimum of two tests – construct equivalence and metric equivalence. As regards corporate reputation, construct equivalence was verified by Naomi Gardberg (2006). However, the subsequent studies did not address metric equivalence. Based on the results of a survey provided by the Reputation Institute (n = 5,950, 50 firms evaluated in 17 countries in the Americas, Europe, Asia and Australia), the degree of RepTrak metric equivalence has been tested, using two different methodologies, multigroup analysis (structural equation model), and a new technique from 2016, the Measurement Invariance of Composite Model procedure from the Partial Least Square Path Modeling family. As one would expect from other cross-cultural studies, reputation metrics do not meet the full metric equivalence, which is why they require standardization processes to ensure international comparability. Both methodologies have identified the same correction parameters, which have allowed validation of the mean and variance of response style by country.

Purpose – The purpose is to present item response theory (IRT) as a promising approach to deal with theoretical and methodological challenges which may not be adequately addressed with linear factor analysis (LFA) techniques.

Approach – We address this limitations and present IRT's approach to counteracting these difficulties. We further present two IRT models in greater detail and make a theoretical comparison between these models and LFA techniques. Then, we illustrate how IRT is applied in practice by analyzing a scale of trust by an IRT and an LFA approach and comparing their results.

Practical implications – Scale properties may vary among countries because some items may function differently in different contexts. Moreover, a scale's reliability depends on the value of the latent variable being assessed, which implies that the scale may discriminate better among certain ranges of the latent trait than among others. The theory we hereby present offers a more adequate approach to dealing with these issues than extant LFA methods.

Originality/value – This chapter presents a methodology of recognized value in other fields of knowledge into the field of strategy and international business, thereby advancing the methodologies available for doing research in these domains.

The purpose of this paper is to analyze the effects of both managerial commitment and the professional development of human resources on the benefits obtained from Kaizen implementation at the planning stage in Mexican maquiladora companies.

As part of the methodology, a questionnaire is validated and administered to 423 workers in different companies from the states of Tabasco, Baja California, Sinaloa and Chihuahua. Moreover, a structural equation model is proposed to relate four latent variables: two concerning managerial commitment and the professional development of human resources, and two more related to the kinds of benefits obtained (economic and for human resources).

Results demonstrate that managerial commitment has a direct and positive impact on economic benefits and those for human resources. The major contribution of this study is, however, the determination of dependency measures between these variables.

This research contributes to the improvement and change, since the results of the research can be extended to the sustainability of other improvement activities, presenting additional areas for future research, such understanding will increase the likelihood that the results of application of Kaizen are sustained, eliminating waste and improving support within the organization. Finally, this research makes contributions to the field of industrial engineering and management disciplines of engineering and operations management, as it focusses on the improvement of integrated systems of people, materials, information, equipment and energy, these systems they are integral to the modeling of this investigation.

This study tests the hypotheses and their relation to the sustainability of Kaizen in time for them to use the analysis technique of structural equations. For the author, this is the first study to determine the causal relationships between the critical success factors and benefits of Kaizen, determining a measure of dependence between them.

The aim of this research is to investigate how local company web sites can contribute towards the value and characteristics of city brands online, particularly where post‐industrial cities are concerned, and to establish a predictive model for this.

Interviews were conducted to gain an understanding of how post‐industrial city brands can be influenced by local companies, leading to the notion of a “constructed” city brand. An overarching brand model was developed based on the works of Christodoulides et al. and Merrilees and Fry and a survey of company web sites conducted. Structural equation modelling was then fitted to these data.

Trustworthiness, responsiveness, online experience and emotional connection were confirmed as dimensions of company online brand value. It was further shown that company brand and constructed city brand are influenced by customer perceptions of brand value. Company brand was not, however, related to constructed city brand for the case study of Bradford, UK, which has a pervading negative reputation.

A model incorporating company brand and city brand has been developed and validated for a typical post‐industrial city that is in decline. The influence that local companies can exert on these brands via their web sites and behaviours was established. It is further demonstrated that company brands become disassociated from a city if it has a negative brand image.

The purpose of this paper is to introduce the importance-performance map analysis (IPMA) and explain how to use it in the context of partial least squares structural equation modeling (PLS-SEM). A case study, drawing on the IPMA module implemented in the SmartPLS 3 software, illustrates the results generation and interpretation.

The explications first address the principles of the IPMA and introduce a systematic procedure for its use, followed by a detailed discussion of each step. Finally, a case study on the use of technology shows how to apply the IPMA in empirical PLS-SEM studies.

The IPMA gives researchers the opportunity to enrich their PLS-SEM analysis and, thereby, gain additional results and findings. More specifically, instead of only analyzing the path coefficients (i.e. the importance dimension), the IPMA also considers the average value of the latent variables and their indicators (i.e. performance dimension).

An IPMA is tied to certain requirements, which relate to the measurement scales, variable coding, and indicator weights estimates. Moreover, the IPMA presumes linear relationships. This research does not address the computation and interpretation of non-linear dependencies.

The IPMA is particularly useful for generating additional findings and conclusions by combining the analysis of the importance and performance dimensions in practical PLS-SEM applications. Thereby, the IPMA allows for prioritizing constructs to improve a certain target construct. Expanding the analysis to the indicator level facilitates identifying the most important areas of specific actions. These results are, for example, particularly important in practical studies identifying the differing impacts that certain construct dimensions have on phenomena such as technology acceptance, corporate reputation, or customer satisfaction.

This paper is the first to offer researchers a tutorial and annotated example of an IPMA. Based on a state-of-the-art review of the technique and a detailed explanation of the method, this paper introduces a systematic procedure for running an IPMA. A case study illustrates the analysis, using the SmartPLS 3 software.

This study tests the cultural invariance in Latin America utilizing a sample of four representative countries – Argentina, Colombia, Mexico, and Venezuela. With the participation of 915 individuals, samples were contrasted along seven cultural values (Schwartz, 1994) dictating the relationship of individuals with the society at large. Results challenge general notions conceiving of Latin America as a homogeneous bloc. Rather, outcomes indicate the presence of significant cultural disparities, adding to previous research by showing sample differentials in (1) mean importance ratings on values governing the behaviors of individuals beyond organizational settings and (2) the way values are behaviorally specified among samples. Findings are discussed in terms of restrictions in generalizing theories and managerial practices in the region. Avenues for future research are also highlighted.

Mobile banking (m-banking) can be defined as a service offered by a bank or any other financial institution that allows the customers of such establishments to carry out a variety of banking operations via a mobile device, such as a mobile phone, tablet or personal digital assistant. The purpose of this paper is to examine factors that influence customers to adopt and subsequently use m-banking services in Ghana using the unified theory of acceptance and use of technology 2 (UTAUT2) model with age, educational level, user experience and gender as moderators.

Using questionnaire survey, the study sampled 300 users of m-banking services in Ghana as respondents. The primary data collected were analyzed using SmartPLS software.

Findings of the study indicate that Habit, Price Value and Trust are the main factors influencing adoption and use of m-banking in Ghana. Individual differences of gender, age, educational level and user experience responded differently as they moderate the relationship between UTAUT2 constructs and use bahaviour. The applicability of UTAUT2 model was confirmed in the context of the research.

M-banking is a new phenomenon in Ghana’s financial industry, thus it is imperative to understanding the customer adoption behavior. The outcome will aid financial institutions to develop strategies that will sustain the interest of consumers to embrace m-banking.

This paper is among the first ever known attempts to examine m-banking adoption in Ghana using UTAUT2 model.

This paper proposes a probit regression with autocorrelated errors (PAR) to estimate the reaction function of monetary policy in Taiwan using newly constructed binary monetary indicators. We develop a practical sampling scheme via the Gibbs sampling algorithm with data augmentation to make posterior inference of the binary monetary policy reaction function. In contrast to the conventional approach, our method avoids the problem of multiple integrals by directly drawing values of latent variables from the relevant full conditional density along with all the other parameters. Empirical results show that the monetary authority responds to macroeconomic conditions asymmetrically. Specifically, in the high‐inflation regime, a contractionary monetary policy is implemented to reduce the inflation rate. Once inflation is under control, that is, in the low‐inflation regime, attention is paid to stimulating the growth of the economy.

In this paper, we contribute to the understanding of how entrepreneurs can deploy their values to enable joint action of heterogeneous stakeholders. Such an understanding forms a critical endeavor to tackle grand challenges adequately. Building on sensegiving research, we conducted a single-case study of an entrepreneurial initiative that tackles gender inequality in Lebanon which has been successful in mobilizing heterogeneous stakeholders who ordinarily would not collaborate with each other. We find that the values of the founders were pivotal for the initiative’s success as those values activated latent values of stakeholders through processes of contextualization and enactment. We subsume these processes under the label value-driven sensegiving. As a result of value-driven sensegiving, heterogeneous stakeholders could make sense of the founders’ aspirational vision and the role they could play in it, which paved ways for tackling grand challenges collaboratively. Our study provides insights into the centrality of values for mobilizing heterogeneous stakeholders across boundaries. Therefore, it contributes to the body of work on sensegiving, societal grand challenges, and new forms of organizing.

The current study proposes an integrative framework for examination of determinants of stock returns in US market based on the five-factor Fama and French (FF) model, macroeconomic variables and investor sentimental factors. The study is based on both value weighted and equally weighted monthly portfolio returns of all CRSP firms which are incorporated in the United States and listed on the NYSE, AMEX or NASDAQ.

The study applies PLS-SEM methodology to examine the major determinants of portfolio return.

The study suggests that investor sentiments are the major driving forces which positively influence the portfolio stock returns. The macroeconomic factors, the FF Factors and Momentum factor have negative influences on portfolio stock returns.

The study is the first of its kind which aim to determine the determinants of portfolio returns using the PLS-SEM methodology.