Search results

In an effort to better understand value-oriented general attendees, the purpose of this paper is to propose and empirically test a comprehensive model to examine the effect of three factors of service quality in exhibitions (i.e. service product, service environment and service delivery) on satisfaction through three factors of perceived value (i.e. emotional value, economic value and social value).

A confirmatory factor analysis was performed to determine key factors in exhibition service quality, perceived value and satisfaction. A structural equation modeling was conducted to analyze the causal relationships among the factors.

The empirical results indicated that service product and service environment were significantly and positively associated with all factors of perceived value, which in turn significantly influenced satisfaction. Service delivery, however, was associated only with emotional value. On the other hand, all three factors of perceived value significantly influenced general attendees’ satisfaction. The findings indicated perceived value as an important mediator between exhibition service quality and general attendees’ satisfaction.

Clearly identifying specific trajectories from service quality to satisfaction through distinct perceived values can be a stepping stone to establishing effective and efficient marketing strategies for general attendees and customizing for their needs. The distinct and clear associations between service quality and perceived value can help exhibition organizers and practitioners understand the process of determining general attendees’ overall satisfaction.

This paper examines the transformations that have been taking place in culture and built form in Sri Lanka and their spatial geography mooted by the open economic policies introduced in the 1970 s and the subsequent developments. It analyses the major facets of the dominant Sinhalese culture having located them within the sacred and profane realms, nature and its social make up. Major characteristics of the traditional culture and built-form are identified and through a longitudinal study of six case studies around the southern region, the study elucidates the major transformations and the social and societal forces behind them. The paper proposes three models for understanding such cultural transformations; Conventional-Sri Lankan, Transitional-Sri Lankan, and Euro-Sri Lankan, the forms of which could also be used in other similar situations.

The purpose of this paper is to consider the presence and consequences of functional overlap in organizational performance management (PM) systems.

This paper is speculative in that it considers the consequences of organizations applying multiple PM systems. Four widely‐used PM systems from various management perspectives are selected as proxies to demonstrate that overlap can occur across a broad array of extant PM systems. The content of the selected PM systems literature was used for analysis.

The analysis found evidence of substantial functional overlap among the selected PM systems. Significant niche overlap occurred in the functions: assisting strategy formulation and implementation processes; supporting strategic decision making; and facilitating strategic learning.

This study and its findings should help scholars to reframe their understanding of PM systems and let managers recognize and take action to optimize the benefits and costs of functional overlap.

The paper identifies functional overlap; a concept not explicitly addressed in the PM literature.

Using 12 case studies, the purpose of this paper is to investigate the use of business analysis techniques in BPR. Some techniques are used more than others depending on the fit between the technique and the problem. Other techniques are preferred due to their versatility, easy to use, and flexibility. Some are difficult to use requiring skills that analysts do not possess. Problem analysis, and business process analysis and activity elimination techniques are preferred for process improvement projects, and technology analysis for technology problems. Root cause analysis (RCA) and activity-based costing (ABC) are seldom used. RCA requires specific skills and ABC is only applicable for discrete business activities.

This is an exploratory case study analysis. The author analyzed 12 existing business reengineering (BR) case studies from the MIS literature. Cases include, but not limited to IBM Credit Union, Chase Manhattan Bank, Honeywell Corporation, and Cigna.

The author identified eight business analysis techniques used in business process reengineering. The author found that some techniques are preferred over others. Some possible reasons are related to the fit between the analysis technique and the problem situation, the ease of use-of-use of the chosen technique, and the versatility of the technique. Some BR projects require the use of several techniques, while others require just one. It appears that the problem complexity is correlated with the number of techniques required or used.

Small sample sizes are often subject to criticism about replication and generalizability of results. However, this research is a good starting point for expanding the sample to allow more generalizable results. Future research may investigate the deeper connections between reengineering and analysis techniques and the risks of using various techniques to diagnose problems in multiple dimensions. An investigation of fit between problems and techniques could be explored.

The author have a better idea which techniques are used more, which are more versatile, and which are difficult to use and why. Practitioners and academicians have a better understanding of the fit between technique and problem and how best to align them. It guides the selection of choosing a technique, and exposes potential problems. For example RCA requires knowledge of fishbone diagram construction and interpreting results. Unfamiliarity with the technique results in disaster and increases project risk. Understanding the issues helps to reduce project risk and increase project success, benefiting project teams, practitioners, and organizations.

Many aspects of BR have been studied but the contribution of this research is to investigate relationships between business analysis techniques and business areas, referred to as BR dimensions. The author try to find answers to the following questions: first, are business analysis techniques used for BR project, and is there evidence that BR affects one or more areas of the business? Second, are BR projects limited to a single dimension? Third, are some techniques better suited for diagnosing problems in specific dimensions and are some techniques more difficult to use than others, if so why?; are some techniques used more than others, if so why?

Although strategic scholars have made great effects to exploring the moderating roles of team interaction in explaining the effect of top management team (TMT) diversity, they have adopted seemingly conflicting theoretical perspectives to explain how it works. Drawing on ideas from the threat rigidity theory, the authors integrated these perspectives by proposing a contingency model in which the relationships between TMT diversity and adaptive firm performance depend on the matching between the internal context (i.e. overlapping team tenure) and external context (i.e. severity of threat).

This study sampled 579 Chinese A-share listed companies that have been severely affected by the COVID-19 pandemic, and multilevel linear regression analysis was used to test the hypothesis.

Results provided support for this hypothesis. Specifically, the interaction between TMT age/tenure diversity and overlapping team tenure is significant only when the severity of threat is high, while the interaction between TMT functional diversity and overlapping team tenure is significant only when the severity of threat is low.

The results of this study provide a comprehensive perspective to predict the performance impact of team diversity and contribute to diversity research and practice.

This paper has the objective of demonstrating a more structured and useful method for evaluating functionality of enterprise software packages such as supply chain management information systems (SCM IS). Existing taxonomies have limited utility for software selection and analysis due to the variation and overlap in functionality found in modern enterprise systems.

A qualitative analysis of over 1,800 pages of SCM IS documentation and independent analyst reports is used to identify relevant SCM IS functional attributes in the seven most widespread SCM IS packages. Pattern matching and coding of constructs is used to iteratively build a hierarchical taxonomy of SCM IS functionality.

The taxonomy developed describes 83 major functional attributes that form five top‐level categories: primary supply chain processes, data management, decision support, relationship management, and performance improvement. The codes representing supply chain processes agree with the widely used Supply Chain Operations Reference (SCOR) process model, although the terminology was not used consistently in vendor and analyst documents.

The approach described enables richer classification schemes to be built that will better distinguish between the wide‐ranging functionality found in modern enterprise information systems.

Selection and analysis of SCM IS is difficult due to the functional overlaps in different systems. The approach described enables a more structured, detailed, and useful analysis of an organization's current or proposed information systems.

This paper contributes a novel approach for conceptualizing and analyzing complex information systems using hierarchical rather than traditional flat taxonomies.

This paper aims to investigate how product positioning affects the influence of product gender on consumers’ product evaluations.

Using experimental designs, this research investigates how hedonic versus functional consumption goals affect consumers’ choice between feminine and masculine products (Study 1) and how positioning products as either hedonic or functional influences consumers’ evaluations of feminine and masculine products (Studies 2 and 3).

When pursuing hedonic consumption goals, consumers are more likely to choose feminine (vs masculine) products, whereas when pursuing functional consumption goals, consumers are more likely to choose masculine (vs feminine) products. Further, consumers evaluate feminine products more favorably when the products are hedonically (vs functionally) positioned, whereas they evaluate masculine products more favorably when the products are functionally (vs hedonically) positioned. Perceptions of product credibility mediate this effect.

Connecting theories of gender identity, product positioning and congruity, this study extends previous literature by demonstrating that the effects of product gender are context-dependent.

Many companies use visual design cues (e.g. shape, color) to promote their products’ gender. The findings of this study suggest that companies promoting their products as feminine should highlight the products’ hedonic benefits, whereas companies promoting their products as masculine should highlight the products’ functional benefits.

Applying a conceptual congruity approach, this research is the first to demonstrate that the effects of product gender on consumers’ product evaluations depend on the product’s positioning.

With the increasing number of Web services, correct and efficient classification of Web services is crucial to improve the efficiency of service discovery. However, existing Web service classification approaches ignore the class overlap in Web services, resulting in poor accuracy of classification in practice. This paper aims to provide an approach to address this issue.

This paper proposes a label confusion and priori correction-based Web service classification approach. First, functional semantic representations of Web services descriptions are obtained based on BERT. Then, the ability of the model is enhanced to recognize and classify overlapping instances by using label confusion learning techniques; Finally, the predictive results are corrected based on the label prior distribution to further improve service classification effectiveness.

Experiments based on the ProgrammableWeb data set show that the proposed model demonstrates 4.3%, 3.2% and 1% improvement in Macro-F1 value compared to the ServeNet-BERT, BERT-DPCNN and CARL-NET, respectively.

This paper proposes a Web service classification approach for the overlapping categories of Web services and improve the accuracy of Web services classification.

The purpose of this paper is to describe an analytical approach – functional analysis – that can be used to evaluate the current design of an organization and identify alternative designs that may increase the ability to realize strategic and operational goals.

The approach described in this paper is based on key concepts in systems theory and axiomatic design theory (Suh, 1990, 2001). A brief case example is used to illustrate the practical application of the approach.

It is shown that functional analysis can be used to map the design of an organization and identify key design challenges (e.g. related to overlapping or conflicting functions).

The case study that is described is considered to be a pilot application of the approach as it is based on a limited number of interviews.

This paper should be relevant for applied researchers, management consultants, project managers and others who are analyzing the current structure of an organization and/or are involved in re-designing an organization.

Application of the functional approach may improve design processes and thereby enhance the effectiveness of social systems, including public and private sector organizations.

This paper describes how key concepts in systems theory and axiomatic design theory can provide the basis for a new framework for analyzing organization designs.

Sustainable operations management is characterized by environmental, social and operational goals. The implementation of routines to protect and direct the effective use of human capital is proposed to potentially improve all three dimensions. However, functional managers with overlapping responsibilities at the plant-level might implement human capital routines based on their individual functional schemas. The purpose of this paper is to investigate whether functional managers have conflicting perceptions of human capital routines, due to narrow perceptions benefiting their own functional domain, and thus generate trade-offs.

A combination of matched survey and archival data from 198 manufacturing plants is used to explore the degree to which functional managers have conflicting perceptions of human capital routines and the effects of these perceptions on sustainability outcomes.

The results indicate that on average functional managers have conflicting perceptions that generate trade-offs between sustainability dimensions. However, when functional managers had a shared perception better outcomes on all sustainability dimensions are shown. Thus, human capital routines can be a powerful tool for sustainability only if senior management can promote a shared schema across functional managers.

Differently than most previous studies assuming shared sustainability goals within an organization, this study considers a multiplicity of functional actors with potentially varying perceptions about sustainability goals and links these to organizational routine implementation and outcomes. Additionally, the dynamic and subjective nature of organizational routines, such as human capital routines, is proposed to explain contradictory impacts in a multi-objective setting such as sustainable operations management.