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Second-order expectations refer to an actor's beliefs about what a co-actor believes with respect to their relative abilities on a shared task. The authors describe and compare three alternative programs of research that explain the effects of second-order expectations on behavioral inequalities in task groups. The authors’ overall goal is to work toward improving the precision and generality of theories of second-order expectations.

The authors conduct a thorough review of theory and research on each of the three alternative models of second-order expectations. In so doing, they highlight areas of convergence and divergence in terms of theory, method, and empirical support. They also suggest research designs that can help clarify the effects of second-order expectations in task groups and adjudicate among the models.

New empirical studies are needed that attempt to replicate findings across the three approaches to modeling second-order expectations. In addition, the three approaches need to be directly compared at the same time using a shared experimental design and the same participant population.

This is the first effort to systematically and critically compare and contrast three competing models of second-order expectations in structural social psychology. The authors offer a number of original, specific recommendations for future research.

The study conceptualizes service quality as a second-order factor and analyzes its influence on customer satisfaction, perceived value, image, consumption emotions and customer loyalty by testing a structural equation model.

The model is tested using data collected from 672 guests staying in accommodation establishments located in South Africa. The study follows a hierarchical approach using confirmatory factor analysis to test the second-order factor model and structural equation modeling to test the overall model.

The results indicate that the second-order factor model is acceptable both empirically as well as conceptually and performs better than other competing models of service quality. The findings provide support for all hypotheses and evidence of a structural model with a high explanatory power.

The second-order factor model is less useful when fine-grained analyses are needed, such as when a detailed assessment of the level of quality of service offered by a hospitality organization is required.

The second-order factor model allows for an analysis of service quality at different levels of abstraction. Accommodation managers interested in customers’ evaluation of service on a cumulative basis can make use of the global measure to determine service quality evaluations. Practitioners can also use the findings to manage the different dimensions of service quality.

The study demonstrates that service quality is best represented as a second-order factor, and in doing so, it provides an improved measurement of the construct. More so, by integrating the variable in a nomological network, the research develops a more parsimonious model than the existing ones.

This paper aims to discuss the estimation of PLS models with second-order formative constructs as existing research has mainly focused on second-order constructs with a reflective measurement.

Using a model grounded on Roger’s innovation diffusion theory applied to online travel shopping, an empirical application is used to assess and compare the different approaches used to estimate a formative second-order construct. The proposed model examines the innovations characteristics that have an impact on intentions to purchase travel online, using data from a convenience sample of 1,732 responses.

The findings show that all approaches produce similar results regarding the path coefficients, the predictive relevance of the model and the explained variance. The main differences between the approaches are related to the weights of the first-order constructs on the second-order construct and the significance of those weights. Several recommendations are made for researchers on which approach to use.

Since most research has focused on second-order constructs with a reflective measurement and there is limited research with formative second-order constructs, this paper provides a comparison of the different approaches typically used to estimate a formative second-order construct and present useful guidelines for researchers to decide the method to analyse a model with second-order constructs and how to assess formative second-order constructs.

由于现有文章大多数研究反应性结构的二阶模型, 所以本论文讨论以二阶形成性结构的PLS模型。

本论文以罗杰斯的创新扩散模型以基础, 应用其在在线旅游购物行为的研究。通过模型建立和背景研究, 多种预估形成性二阶结构的方法得以比较。建立的模型, 通过1,732份样本采样, 分析了各种对于在线购买旅游产品意图的创新特性。

本论文发现, 各种方法产生相似的分析结果, 比如径路系数、模型预测相关、以及被解释变量等。三种方法的主要区别在于, 第一阶段结构与第二阶段结构的比重值, 还有这些比重值的显著程度。本论文结果对于未来理论采用哪种方法做出启示。

由于大多数研究都集中在以反应性二阶结构分析, 很少的文章研究形成性二阶结构。因此, 本论文全面地比较了三种衡量形成性二阶结构的方法, 并且提供有效建议, 采用哪种方式以分析二阶结构, 以及如何衡量形成性二阶结构。

旅游业、在线旅游购物行为、偏最小二乘回归，二阶形成性结构

研究论文

The purpose of this study is threefold: (1) to propose partial least squares path modeling (PLS-PM) as a way to estimate models containing composites of composites and to compare the performance of the PLS-PM approaches in this context, (2) to provide and evaluate two testing procedures to assess the overall fit of such models and (3) to introduce user-friendly step-by-step guidelines.

A simulation is conducted to examine the PLS-PM approaches and the performance of the two proposed testing procedures.

The simulation results show that the two-stage approach, its combination with the repeated indicators approach and the extended repeated indicators approach perform similarly. However, only the former is Fisher consistent. Moreover, the simulation shows that guidelines neglecting model fit assessment miss an important opportunity to detect misspecified models. Finally, the results show that both testing procedures based on the two-stage approach allow for assessment of the model fit.

Analysts who estimate and assess models containing composites of composites should use the authors’ guidelines, since the majority of existing guidelines neglect model fit assessment and thus omit a crucial step of structural equation modeling.

This study contributes to the understanding of the discussed approaches. Moreover, it highlights the importance of overall model fit assessment and provides insights about testing the fit of models containing composites of composites. Based on these findings, step-by-step guidelines are introduced to estimate and assess models containing composites of composites.

The investment climate is one of the key factors considered by foreign investors while deciding their investment destination. This paper aims to attempt at validating the second-order model of oil and gas projects’ investment climate. Examination of the relationship between the dimensions of oil and gas projects’ investment climate; strategy, participants/operating environment and risk/return; and the overall latent construct was conducted. The study also evaluates the goodness of fit of the second-order model using relevant fit indices.

Oil and gas experts in Malaysian marginal oil fields subsector were deployed, through whom responses were collected that formed the data set used in the analysis. Then, the data were used for confirmatory factor analysis, evaluation of the second-order model through path analysis and for model fit evaluation.

The finding revealed that the second-order model of oil and gas projects’ investment climate is valid and reliable. It also revealed that all the three dimensions, strategy, participants/operating environment and risk/return, have significant effects on the formation of the oil and gas projects’ investment climate. Finally, the goodness of fit of the second-order model satisfied the relevant fit indices.

The findings present valuable insights to policymakers on the extent of the influence each of the dimensions has on the overall latent construct. The validity and reliability analysis suggests the measurements of the second-order model of oil and gas projects’ investment climate construct, and its dimensions are valid, reliable and fit for future empirical research. Thus, it calls for replication in other oil and gas settings.

The findings from the results of this study are pioneering. Extant literature falls short in attempting the validation of the second-order oil and gas projects’ investment climate scale, as well as relating each of the dimensions with the overall latent construct.

The goal of this paper is to validate the second-order model for the economic welfare scale in the context of violence. This study also aims to assess the relationship between the dimensions of the economic welfare scale’ declining food consumption and loss of income and the overall latent construct and assess the second-order model’s goodness of fit using appropriate fit indices.

The study is cross-sectional with a sample of 600 households from the violent zone, Northwest Nigeria. The data collected was used for confirmatory factor analysis, second-order model evaluation and model fit evaluation.

The second-order model for the economic welfare scale is valid and reliable; the dimensions significantly affect the formation of the overall construct. The model’s goodness of fit fulfilled the relevant fit indices.

The study offers researchers and policymakers practical insights into how each dimension influences the latent operational construct. It, therefore, encompasses replication in all the remaining modules.

The findings offer practical insight to policymakers in designing policies for promoting long-term peace structures and developing mechanisms to assist those who have suffered the greatest economic welfare losses due to violence in Nigeria.

The findings form an essential tool to assess the economic welfare effect in violently affected territories at the micro-level.

The outcomes are ground-breaking by validating the second-order model for the economic welfare scale. And established dimension influences over the overall latent variable.

The purpose of this paper is to extract and validate the dimensions of service quality in retail banking services in India by adopting an integrated and hierarchical perspective of service quality determinants.

The paper empirically validates a parsimonious (multi-dimensional and multi-level) model of service quality in retail banking services in India. The analysis was conducted using structural equation modeling. A hypothesized second-order model was tested and compared with a first-order model of service quality. The dimensions were extracted through exploratory factor analysis and validated through confirmatory factor analysis.

The second-order service quality model was accepted based on parsimony as it consisted of five primary dimensions: Service delivery (describing the efficiency with which the service is provided), tangibles (the quality of physical service environment), reliability (the promise of right service being provided), core service (the attributes and features of the service product) and competence (the capability of employees and systems for providing the service). The second-order model enhances the understanding of the structure of service quality for retail banking services in India. The most important dimension was tangibles, especially the physical environment which facilitates efficient delivery of service.

The research provides support for a multi-dimensional second-order model of service quality in retail banking service in India. The results show that customers form perceptions of overall service quality which are reflected by five primary dimensions. The primary dimension of tangibles is the most influential.

Organizations need to measure and manage overall service quality perceptions to build trust and reinforce loyalty intentions among their customers. Banks need to adopt a multi-level approach to managing service quality perceptions, i.e. both at the dimensional level and organizational level.

This study would contribute to the enhancement of service quality outcomes in retail banking services in India which has a crucial role in the economic development.

The study proposes and validates a parsimonious and hierarchical model of service quality in the context of retail banking in Indian cultural context. Thus this research provides support to existing knowledge of service quality measurement and management and extends the understanding of its structure by validating the multi-level model in an emerging market context.

The purpose of this paper is to investigate the factor structure and the measurement invariance of the Multifactor Leadership Questionnaire (MLQ) across gender of K-12 school principals (n=6,317) in the USA.

Nine first-order factor models and four second-order factor models were tested using confirmatory factor analysis.

The results suggested that the nine-factor model provided the best fit for the data. Further examination revealed that most constructs lacked convergent validity and discriminant validity. Second-order factor models were tested and the hierarchical model with two higher order factors (i.e. transformational and transactional leadership) was deemed the best fit and it was then tested for measurement invariance between females and males. The measurement model was found to be invariant across gender. Findings suggested that female school principals demonstrated significantly greater transformational leadership behaviour, while male school principals demonstrated significantly greater transactional leadership behaviour.

This study addressed construct and factor issues previously associated with the MLQ in the measurement of transformational and transactional leadership among a variety of organizations. By using a sample of K-12 school principals across gender, this study has provided support that may ameliorate contextual doubts of transformational leadership behaviour when examining the relational aspects needed to improve schools.

This paper aims to introduce the Schmid–Leiman solution (SLS) as a useful tool to interpret the results of higher-order factor analyses in marketing research irrespective of the type of higher-order factor structure used (formative or reflective).

Two studies, one with retail shoppers in India and another with undergraduate students in Hong Kong, are used to compare different types of higher-order factor structures to test the utility of SLS.

The authors show that whether a reflective or a formative model is used to operationalize a higher-order construct, using SLS as an additional analysis gives useful insights into the factor structure at different levels and helps isolate their unique contributions to the explained variance.

The authors test higher-order models for store environment and consumer impulsiveness with data from retail shoppers and undergraduate students in two Asian countries, which may restrict the generalizability of the study findings. Future research may try to replicate our findings with other higher-order constructs and consumers in other countries.

The authors offer a checklist that can be used by future researchers to evaluate alternate higher-order factor structures and choose the appropriate one for their research context.

The authors show that using SLS is especially useful when there is a lack of clarity on the nature of relationships between the factors at different levels or about the independent contribution of the factors at different levels, in a higher-order factor structure.

Information and communications technology (ICT) offers enormous opportunities for individuals, businesses and society. The application of ICT is equally important to economic and non-economic activities. Researchers have increasingly focused on the adoption and use of ICT by small and medium enterprises (SMEs) as the economic development of a country is largely dependent on them. Following the success of ICT utilisation in SMEs in developed countries, many developing countries are looking to utilise the potential of the technology to develop SMEs. Past studies have shown that the contribution of ICT to the performance of SMEs is not clear and certain. Thus, it is crucial to determine the effectiveness of ICT in generating firm performance since this has implications for SMEs’ expenditure on the technology. This research examines the diffusion of ICT among SMEs with respect to the typical stages from innovation adoption to post-adoption, by analysing the actual usage of ICT and value creation. The mediating effects of integration and utilisation on SME performance are also studied. Grounded in the innovation diffusion literature, institutional theory and resource-based theory, this study has developed a comprehensive integrated research model focused on the research objectives. Following a positivist research paradigm, this study employs a mixed-method research approach. A preliminary conceptual framework is developed through an extensive literature review and is refined by results from an in-depth field study. During the field study, a total of 11 SME owners or decision-makers were interviewed. The recorded interviews were transcribed and analysed using NVivo 10 to refine the model to develop the research hypotheses. The final research model is composed of 30 first-order and five higher-order constructs which involve both reflective and formative measures. Partial least squares-based structural equation modelling (PLS-SEM) is employed to test the theoretical model with a cross-sectional data set of 282 SMEs in Bangladesh. Survey data were collected using a structured questionnaire issued to SMEs selected by applying a stratified random sampling technique. The structural equation modelling utilises a two-step procedure of data analysis. Prior to estimating the structural model, the measurement model is examined for construct validity of the study variables (i.e. convergent and discriminant validity).

The estimates show cognitive evaluation as an important antecedent for expectation which is shaped primarily by the entrepreneurs’ beliefs (perception) and also influenced by the owners’ innovativeness and culture. Culture further influences expectation. The study finds that facilitating condition, environmental pressure and country readiness are important antecedents of expectation and ICT use. The results also reveal that integration and the degree of ICT utilisation significantly affect SMEs’ performance. Surprisingly, the findings do not reveal any significant impact of ICT usage on performance which apparently suggests the possibility of the ICT productivity paradox. However, the analysis finally proves the non-existence of the paradox by demonstrating the mediating role of ICT integration and degree of utilisation explain the influence of information technology (IT) usage on firm performance which is consistent with the resource-based theory. The results suggest that the use of ICT can enhance SMEs’ performance if the technology is integrated and properly utilised. SME owners or managers, interested stakeholders and policy makers may follow the study’s outcomes and focus on ICT integration and degree of utilisation with a view to attaining superior organisational performance.

This study urges concerned business enterprises and government to look at the environmental and cultural factors with a view to achieving ICT usage success in terms of enhanced firm performance. In particular, improving organisational practices and procedures by eliminating the traditional power distance inside organisations and implementing necessary rules and regulations are important actions for managing environmental and cultural uncertainties. The application of a Bengali user interface may help to ensure the productivity of ICT use by SMEs in Bangladesh. Establishing a favourable national technology infrastructure and legal environment may contribute positively to improving the overall situation. This study also suggests some changes and modifications in the country’s existing policies and strategies. The government and policy makers should undertake mass promotional programs to disseminate information about the various uses of computers and their contribution in developing better organisational performance. Organising specialised training programs for SME capacity building may succeed in attaining the motivation for SMEs to use ICT. Ensuring easy access to the technology by providing loans, grants and subsidies is important. Various stakeholders, partners and related organisations should come forward to support government policies and priorities in order to ensure the productive use of ICT among SMEs which finally will help to foster Bangladesh’s economic development.