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This paper is the main section on quantitative data analysis. It explains the concepts at a greater detail to help non-Math/Stat scholars to understand the basics easily. Proper data analysis is critical to any research. If data are not properly analyzed, then it may give results which either cannot be properly interpreted or wrongly interpreted. This section covers univariate, multivariate analysis and then, factor analysis, cluster analysis, conjoint analysis, and multidimensional scaling (MDS) techniques.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

The purpose of this paper is to examine the effects of collaboration mode (face‐to‐face versus non‐collocated using collaborative technology) on team‐based problem solving behaviors associated with team learning, team reflexivity (i.e. reflectiveness) and team mental model development.

The study used a single factor (collaboration mode) between subjects randomized experimental design. The experimental manipulations of collaboration mode were face‐to‐face versus technology‐mediated collaboration. Observer ratings of problem solving behaviors were used to generate data analyzed using multivariate analysis of variance.

Multivariate analysis of variance results indicated that face‐to‐face collaboration is superior to technology‐mediated collaboration in facilitating team level cognitive functions such as team learning, team reflexivity, and shared mental model development.

To better manage the psychological/cognitive aspects of teamwork, managers must detect and accurately interpret the behavioral indicators that evidence the extent of team learning, reflexivity and shared mental model construction of task requirements and execution.

This paper represents one of the first to investigate the impact of technology‐mediated collaboration on team cognition and to conceptualize team cognition as a set of mental processes and intra‐team communication exchanges that facilitate team learning, reflection, and shared understanding.

The purpose of this paper is to examine the cultural influences on young consumers' loyalty tendency and evaluations of the relative importance of apparel retail store attributes in Taiwan and the USA.

A structured questionnaire was developed to collect the data. Factor analysis was employed to identify dimensions of apparel retail store image attributes. Pillai's Trace multivariate analysis of variance and hierarchical multiple regression analysis were used to examine the hypotheses.

Results of the study showed that American consumers have significantly greater collectivistic characteristics than Taiwanese. The paper also found that country of residence is a significant and stronger indicator in predicting loyalty tendency than individualism and collectivism dimensions. The results of the study showed that evaluation of the relative importance of retail store attributes was influenced by culture. Among the five apparel retail store attribute dimensions identified in the study, Taiwanese and US respondents' evaluation of the importance of “convenience”, “product” and “information communication” factors of retail store image attributes differed significantly.

The paper may contribute to international retailers' understanding of the similarities and differences between Taiwanese and US markets and in determining the ideal components for these retailers to create an optimized apparel retail store image in two different countries' markets. The findings from the study could serve as an important benchmark for retailing strategy, helping retailers to effectively redesign their apparel stores to attract consumers in different markets and foster consumers' loyal to the company.

Despite the growing internationalization of fashion retailing, this particular sector has attracted little research attention, and no research has been done to investigate the cultural differences of consumers' evaluations of apparel retail store image attributes.

Pakistan adopted “one-size-fits-all” policy for human capital (HC) development with the assumption that the level of HC is equal across industry and firm size. The purpose of this paper is to test this major assumption on which this policy is based, by comparing the differences in the levels of HC, overall and by dimensions of HC, by industry and firm size.

The study is based on new data set of a sample of 750 manufacturing SME firms in Pakistan, compiled through a survey. Applying the independent sample t-test, one way analysis of variance and multivariate analysis of variance, the hypotheses of differences in levels of overall and dimensions of HC were tested.

The results indicate significant differences in the levels of HC by industry and firm size. The levels of HC were found to be higher in textiles, food, metal and leather industries, and for medium-sized firms.

The findings provide supporting evidence on the inadequacy of the current human capital development (HCD) policy in Pakistan. The study therefore recommends customized HCD policies, accounting for differences across industry and firm size.

By taking the data on nine major dimensions of HC from 750 manufacturing sector SMEs, the study tests the level of overall HC and its nine dimensions by industry and size. The study also challenges the “one-size-fits-all” policy of the government of Pakistan for developing HC in SMEs.

Changes in food retailing (globalization, concentration) have negative impacts on smaller, “traditional” food retail businesses. Their market share decreasing year by year. The purpose of this study is to examine and compare the financial performances of these businesses under the given circumstances and current economic environment in a Hungarian and a Romanian county.

The study is based on two complete databases, including all companies that behoove retail food activity (considering the NACE cod) in the counties of Hajdu-Bihar (Hungary) and Cluj (Romania). The database analyzed contains the financial statements for five consecutive years for 212 and 690 businesses. Databases were examined by the most typical financial indicators using the multivariate and univariate analysis of variance and the k-medoid cluster analysis methods.

The results of the analysis have shown that there are differences in the number of retail food companies in the case of two counties, both in number and in financial performance. Companies in Hajdú-Bihar county perform better in terms of financial ratios than those in Cluj county. The groups created by k-medoids cluster analysis are relatively well distinguished in the case of Hajdú-Bihar county, while the picture is much more mixed in the case of Kolozs county. However, it is also important to note that the companies analyzed should generally perform better to survive.

Among the limitations of the study, it is important to note that the findings are relevant only to the two counties examined. Another limiting factor is that quite several companies had to be excluded from the analysis due to missing data or outliers.

The study presents for the corporate decision-makers the current performance of the companies of the sector examined in the two counties. The results of the study highlight the business areas of concern in management. The findings show that they need to change this performance to strengthen their market position. We believe that it is not enough to complain about the expansion of the supermarket chains, but they should take appropriate actions to improve their situation. Based on the results of the study, it can be concluded that there is a need to improve the financial efficiency of retail food companies in both counties to survive in the long run. This improvement is essential because retailers can play an important role in smaller settlements and narrower residential environments.

Comparative analysis of retail food companies in similar counties in these two neighboring countries has not been conducted using complex financial analysis. The study revealed the common and/or individual characteristics of these companies.

Logistics service providers (LSPs) may invest a lot of time in tenders unsuccessfully, as they do not meet the expectations of logistics service users (LSUs). In order to help them classify and target their customers more efficiently and effectively and make logistics outsourcing more successful for both LSUs and LSPs, this paper analyzes underlying dimensions of criteria German manufacturing and trading companies actually use in selecting an LSP and clusters of LSUs based on these dimensions.

A questionnaire survey with 110 manufacturing and 135 trading companies was conducted in Germany. Principal component analysis (PCA), cluster analysis, multivariate analysis of variance, analysis of variance and discriminant analysis were performed on the sample data.

PCA revealed eight dimensions of LSU criteria in selecting LSPs and that cost alone seems not decisive. Based on these dimensions, cluster analysis produced nine LSU groups. These groups differ the most in the selection criteria dimensions cost-performance ratio, operational collaboration, quality and locations. Recommendations for servicing these groups are given. The two largest groups, which make up 43.5%, seem not that demanding and price sensitive. The selection criteria dimensions and LSU groups enable LSPs to classify and target their customers more efficiently and effectively, to evaluate and develop their core competencies, and contribute to successful logistics-outsourcing relationships.

This research is the first to examine selection criteria dimensions and resulting clusters of German manufacturing and trading companies in order to make logistics outsourcing more successful.

This study investigates the characteristics of business and management consulting firms (firm size, international affiliation and scope of operation) affecting the adoption rate (i.e. recency of adopting big data analytics (BDA) as a new idea) and usage level of BDA. Ten critical areas of BDA application to business and management consulting were investigated, (1) Human Resource Management; (2) Risk Management; (3) Financial Advisory Services; (4) Innovation and Strategy; (5) Brand Building and Product Positioning; (6) Market Research/Diagnostic Studies; (7) Scenario-Based Planning/Business Simulation; (8) Information Technology; (9) Internal Control/Internal Audit; and (10) Taxation and Tax Management.

Survey data was obtained through a structured questionnaire from one hundred and eighteen (118) consultants in Nigeria from diverse consulting firm settings in terms of size, international affiliation and scope of operation (Big 4/non-Big 4 firms). Data was analyzed using descriptive statistics, cluster analysis, multivariate analysis of variance (MANOVA), multivariate discriminant analysis and multivariable logistic regression.

Whereas organizational characteristics such as firm size, international affiliation and scope of operation significantly determine the adoption rate of BDA, two attributes (international affiliation and scope of operation) significantly explain BDA usage level. Internationally affiliated consulting firms are more likely to record higher usage level of BDA than local firms. Also, the usage level of BDA by the Big 4 accounting/consulting firms is expected to be higher in comparison to non-Big 4 firms.

Contrary to common knowledge that firm size is positively associated with the adoption of an innovation, the study found no evidence to support this claim in respect of the diffusion of BDA. Overall, it appears that the scope of operation is the strongest organizational factor affecting the diffusion of BDA among consulting firms.

The study contributes to knowledge by exposing the factors promoting the uptake of BDA in a developing country. The originality of the current study stems from the consideration that it is the first, to the researchers' knowledge, to investigate the application of BDA by consulting firms in the Nigerian context. The study adds to literature on management accounting in the digital economy.

As globalization intensifies, the need for tapping the capabilities of corporations’ human resources, gecome more paramount. To this end, businesses cannot afford to have their most important resource, their people, hampered by attitudes that detract from their abilities to perform at their best. This is especially relevant when there may be a misconception that being male is synonymous with management competency. The focus of this research was on exploring the attitudes towards women managers in the United States and Poland. Questionnaires were distributed to two groups of individuals within each nation, professionals and graduating business students or “future managers”. There were 157 and 295 usable responses from Poland and the United States, respectively. The results indicate that Polish women may have more negative attitudes to overcome in becoming managers in comparison to the US counterparts. Perhaps more disconcerting is the potential that “future managers” in Poland may have even more negative attitudes toward women as managers.

The purpose of this study is to examine if there is a difference between service-sector Lean Six Sigma (LSS) project teams that progress through Tuckman’s group development model and those that do not in terms of the number of completed projects, the number of projects completed on time, the length of time to complete the projects and the total cost savings and avoidance because of the projects.

The research consisted of a quantitative, descriptive methodology. The design included a sample from a service-sector LSS practitioner population, a survey instrument, one independent construct with two levels, four dependent constructs and a multivariate analysis of variance (MANOVA).

The progression of service-sector LSS teams through Tuckman’s group development model, as measured with the group process questionnaire, significantly influences the teams in terms of the number of completed projects, the number of projects completed on time, the length of time to complete the projects and the total cost savings and avoidance because of the projects.

A limitation of the study is there may be other factors not related to Tuckman’s group development model that can influence the outcomes of LSS projects. These variables may include senior executive buy-in, number of LSS practitioners in the organization, the robustness of LSS training programs, level of talent and other factors not related to Tuckman’s group development model. Another limitation of the study encompassed using a sample of convenience instead of a random sample.

The recommendation for practice is binate. First, service-sector LSS project teams should ensure they progress through the stages of Tuckman’s group development model to enjoy the significantly improved project outcomes. Second, LSS practitioners and trainers should ensure that Tuckman’s group development model is part of the training curriculum.

The study demonstrates that all groups should attempt to progress through the stages of Tuckman and Jensen (2010) group development model to enjoy the benefits of working in a cohesive, task-focused team.

This study adds to the body of knowledge because, prior to this study, there was not prior research involving Tuckman’s group development model and LSS team outcomes.