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Organizational researchers have become increasingly interested in multi-level constructs – that is, constructs that are meaningful at multiple levels of analysis. However, despite the plethora of theoretical and empirical work on multi-level topics, explicit frameworks for validation of multi-level constructs have yet to be fully developed. Moreover, available principles for conducting construct validation assume that the construct resides at a single level of analysis. We propose a five-step framework for conceptualizing and testing multi-level constructs by integrating principles of construct validation with recent advancements in multi-level theory, research, and methodology. The utility of the framework is illustrated using theoretical and empirical examples.

The purpose of this paper is to introduce and validate two new constructs with the potential to sharpen our understanding of how and why firms integrate their internal supply chains and assess the governance structure of their supply chains. The first construct, organizational alignment (OA), is a reflective scale measuring the extent to which upper management attempts to foster integration between internal supply chain functions. The second, supply chain governance structure (SCGS), is a formative index, and is a first attempt at developing a measurement instrument to assess SCGS along multiple dimensions.

Following a literature review, measures of OA and SCGS are conceptualized. These instruments are used to collect data, after which they are refined and validated through parallel scale development (OA) and index construction (SCGS) processes.

OA shows acceptable content and construct validity, and SCGS shows acceptable results for content and item specification, as well as multicollinearity.

OA and SCGS may provide some insight into how to promote better internal supply chain integration within the firm, and may allow for an assessment of the governance structure of the firm's supply chain. In different industries and at different times, this knowledge may prove useful in supply chain design and supply base optimization decisions.

These scales have considerable applicability in logistics and supply chain management research. Together, they represent initial attempts to assess upper management influence on internal supply chain alignment (OA), and to assess the governance structure of a firm's supply chain.

Chen, Mathieu and Bliese (this volume) propose a useful framework for conceptualizing, testing, and validating multi-level constructs. Their framework focuses on the differences in constructs that occur between individuals and groups. One key question arises with their approach: What happens if the validity of constructs is viewed as potentially varying not only between individuals and between groups but also within individuals and within groups? The focus on within-individuals and within-groups variations is called “frog-pond effects.” Based on such frog-pond effects, this chapter reconsiders the approach of Chen et al. and discusses some of the implications of adding this perspective to multi-level research.

The objective of the study is to design and validate an instrument that allows organizations to assess their status regarding the adoption of the critical success factors (CSFs) that enable lean six sigma (LSS) implementation in order to achieve the expected benefits.

An extensive literature review was conducted to define the LSS CSFs that have to be considered for the development of the questionnaire that would later be applied across all manufacturing companies on the Northern Mexican border. Once the database was built, a statistical verification of the assumptions required for factor analysis took place. Finally, the due construct validation was carried out to verify whether the proposed instrument measured reliably what it is intended to.

A questionnaire measuring nine CSFs, as well as the benefits associated with the implementation of LSS, was designed and validated through 61 items.

The main limitations of this study are that the research is cross-sectional and that the study was carried out taking as a reference only exporting manufacturing companies located in the border area between Mexico and the United States.

The validated instrument is expected to serve as a useful tool for companies interested in the implementation of LSS.

This study introduces a validated tool for the analysis of LSS CSFs while providing evidence of construct validity and the solid structure of the factors.

Little empirical research has been conducted on competitive intelligence (CI). This paper aims to contribute to the quantitative strand of the CI literature by exploring and validating the theoretical constructs of the CI process.

Data from 601 questionnaires filled out by South African and Flemish exporters were subjected to exploratory factor analysis and construct equivalence analysis between the sub‐samples.

The results showed that the CI process consists of three constructs, while the context in which CI takes place consists of four constructs. This agrees to some extent with the literature. When verifying the constructs for both cultures it was found that all but one CI context construct can be viewed as equivalent in both groups. Bias analysis identified one item in the questionnaire that was biased. Via regression analysis it was also indicated that the context in which CI takes place influences the CI process to a large extent. The research identified size as an important influencing factor in a business' CI process.

Businesses involved in CI should take note that an improvement in their formal infrastructure, employee involvement and internal information processes could enhance their CI capability.

This paper contributes towards the formalising of the constructs of competitive intelligence.

Employee dissatisfaction with merit pay is a long‐standing problem. This study introduces four explanatory constructs, based on decisional and interactional fairness notions, that describe how supervisors implement merit pay and predict merit pay satisfaction. Multigroup confirmatory factor analyses, applied to a sample of American employees (N = 415) and a sample of Venezuelan employees (N = 239), show that the five constructs introduced here are distinct from each other and that their measures generalize across countries (cultures and languages).

The purpose of this paper is to create and validate a scale that measures consumer xenocentrism in developing countries, where this phenomenon is furthermost prevalent. This study aimed for the conceptualization, construct development and validation of a new scale labeled X-Scale. The theoretical framework was based on the theories of social comparison, system justification and culture.

This study employed a mixed-method and multi-stage research approach to investigate the domain of xenocentrism in the context of consumer behavior and subsequently develop a scale (X-Scale), while assessing its dimensionality, reliability and validity. Qualitative and quantitative techniques were used for the development of the scale. Multi-stage data from five developing countries were collected for validation purposes: Mexico, Colombia, Peru, Ecuador and China.

Results indicate that the consumer xenocentrism construct has two dimensions: foreign admiration and domestic rejection. Each dimension is comprised of five items. The reliability tests, the goodness-of-fit measures and the psychometric properties indicate a reliable construct. In addition, this study shows that consumer xenocentrism is a key predictor of consumers’ preferences for foreign brands over domestic ones.

This is the first empirical study on consumer xenocentrism conducted in several developing countries. The X-Scale developed here is invariant across countries and, therefore, allows for comparison among them.

Information technology (IT) personnels’ technical, business and behavioral skills are critical enablers for generating IT value. In an increasingly digitalized working environment where non-IT employees participate in digital innovations, a focus on IT personnels’ skills only doesn’t meet researchers’ need for a framework to study digital skills and managers’ need to address digital skills challenges across an enterprise’s workforce. Nevertheless, the digital skills topic is complicated by conceptual ambiguity and a lack of theoretically derived and empirically validated model. The purpose of this study is to address this problem.

Theoretically, this study draws on human capital (HC) and resource-based view (RBV) theories. Empirically, it follows mixed method combining interviews and a survey.

The digital skills construct is a multidimensional second order reflective construct. While its development is influenced by an organization’s commitment and exposure to digitalization, it influences the value organizations obtain from digitalization.

This study conceptualizes the digital skills construct, identifying technology agnostic subdimensions that are meaningful beyond a particular digital domain [information and communication technology (ICT), information, Internet, Inter of Things (IoT)] and establishing a valid measure. Other researchers can improve both the indicators of the existing four conceptually distinct and managerially recognizable workplace digital skills dimensions as well as testing new ones.

Managers can use the instrument to assess the extent to which their non-IT workforces are equipped with digital skills and get strategic insights for specific interventions such as upskilling or buying in skills.

The main theoretical contribution of the paper is the conceptualization and validation of the digital skills construct for the non-IT workforce. Furthermore, we provide a theoretical framework to explain the factors that could influence the development of digital skills and demonstrate the impact that digital skills have on selected digitalization value indicators. This contribution provides the foundation for investigating the drivers, outcomes and the relationship of digital skills to other constructs such as digital transformation, innovation and firm performance.

The purpose of this research is to examine the construct and predictive ability of a German version of the Learning Transfer Systems Inventory (GLTSI), an instrument designed to assess a constellation of 16 factors known to influence the transfer of training in work settings.

The survey data for this study was collected from 569 employees working in 17 private sector organizations in Germany. This data was used to test the construct validity of the GLTSI using principle components analysis (common factor analysis). The predictive validity of the instrument was tested against individual and organizational level outcome measures using hierarchical stepwise multiple regression.

Exploratory factor analysis of the GLTSI produced a 16 factor solution that was a highly consistent original English version of the LTSI. The results of the regression analysis showed that a subset of GLTSI scales were significant predictors of measures of individual transfer results and organizational performance.

The study relies on self‐report data for both the independent and dependent variables and, although there is no evidence suggesting this was a problem, factors such as common method variance or social desirability could have influenced the correlations in this study in unknown ways. Certainly future criterion‐related validation research with the GLTSI using outcome measures that do not rely on self‐reports would be valuable. Future research with the GLTSI should also seek to modify certain items or add new items to enhance the emic or culture‐specific nature of specific scales.

This study contributes the study and practice of human resource development by furthering the dissemination of analytical tools across linguistic settings and enhancing the potential for the cross‐cultural study of learning transfer and training effectiveness.

Well-founded measurements are of high value because a better connection between business process management (BPM) and maturity models (MMs) improves an organization’s performance. Although MMs are appropriate tools for organizations to manage their business processes and, therefore, enjoy popularity, most of these models suffer from their foundation, validation and/or capability coverage. The purpose of this paper is to address this issue by providing metrics to measure and manage business processes.

A high-standard and multistaged procedure was followed to systematically develop and validate the measurement instrument involving international academics and practitioners across four continents. Different rounds were used for item identification, item selection, item revision, instrument preparation (pretest and pilot) and instrument application using partial least squares structural equation modeling.

The instrument measures 4 main capability areas, 13 subareas and 62 items. The work explains how to conduct BPM assessments in a more theoretically sound way and reports on the instrument’s development to show high levels of construct validity, content validity and reliability.

The author provides a rigorous and more evidence-based instrument, facilitating the BPM discipline’s need of empirical research.

The author proposes parameters to configure the instrument.

Serving as a reference framework, the instrument strengthens BPM’s empirical and theoretical foundations. Since the instrument is free for scholars and practitioners, the author illustrates the research streams and business situations in which the instrument can be applied (in full or in part). This paper paves the way for transforming the instrument into an optimization MM with advice or improvement paths, bridging the gap between theory and practice.