scholarly journals Tourism Memory Characteristics Scale: Development and Validation

2021 ◽  
pp. 004728752110333
Author(s):  
Youngsoo Kim ◽  
Manuel Alector Ribeiro ◽  
Gang Li
Keyword(s):  
Scale Development ◽  
Dimensional Structure ◽  
Extensive Literature ◽  
Emotional Intensity ◽  
Validity And Reliability ◽  
Autobiographical Memories ◽  
Scale Development And Validation ◽  
Future Behavior ◽  
Development And Validation ◽  
Memory Characteristics

Recall of tourism experiences is a decisive factor in tourists’ future behavior and decision making when choosing destinations. Understanding the phenomenology of tourism memory can enable tourism organizations to enter a more competitive marketplace. Although extensive literature has addressed how to provide memorable tourism experiences, limited studies have focused on the autobiographical memories associated with these experiences. This research employed rigorous scale development procedures to establish the Tourism Memory Characteristics Scale (TMCS). Findings point to a seven-dimension scale consisting of accessibility, trip details, vividness, sensory details, valence, emotional intensity, and sharing. Tourism memory characteristics were found to support the scale’s dimensional structure, validity, and reliability. It was also found that tourism memory influences revisit intention and word of mouth. Results present opportunities for tourism organizations to capture the fundamental characteristics of their products by using the TMCS.

Manufacturer power over suppliers: scale development and validation

2020 ◽  
Vol 32 (1) ◽  
pp. 199-218
Author(s):  
Yan Jin ◽  
Joy Turnheim Smith
Keyword(s):  
Supply Chain ◽  
Information Systems ◽  
Scale Development ◽  
Manufacturing Firms ◽  
Power Relationship ◽  
Validity And Reliability ◽  
Manufacturing Firm ◽  
Content Type ◽  
Scale Development And Validation ◽  
Development And Validation

PurposeThis research empirically builds a manufacturing firm's power construct that can be used to assess the changes suppliers are willing to make in their operations decision areas, such as quality systems, product management, process management, material management systems and information systems. This approach has not been empirically explored in the operations and supply chain management literature. This research fills this gap with the new power definition method.Design/methodology/approachThis research conducted a two-stage scale development and validation process for a manufacturing firm's power over suppliers. A survey study collected 201 responses from the US manufacturing firms. The research used confirmatory factor analysis (CFA) to assess the validity and reliability of this construct.FindingsThe results confirmed the validity and reliability of a manufacturing firm's power over suppliers as a second-order variable, with five first-order constructs reflecting power in areas of quality, product, process, material and information systems.Practical implicationsManufacturing firms can use this instrument to assess the strengths and weaknesses of their power over suppliers in each decision area. From the results, companies can develop a power-competitiveness grid to guide their power enhancement efforts based on the competitive advantage being prioritized. Similarly, a resource-power grid can assist the manager in deciding whether to invest in a resource that benefits a particular power dimension.Originality/valueThis research contributes to supply chain power literature by taking a unique approach to defining a manufacturer's power regarding its suppliers' decision areas. This power structure opens the possibility to explore the relationship between a firm's resource, power and firm performance. As buyer–supplier power relationship building is increasingly important in the supply chain, knowing the parameters of the power relationship can help the manufacturing firm align its strategic focus to the areas that can be supported by the supply chain.

Death-Related Status Consumption: Scale Development and Validation

2021 ◽  
pp. 003022282110162
Author(s):  
Hakan Cengiz ◽  
Omer Torlak
Keyword(s):  
Scale Development ◽  
Internal Consistency ◽  
Culturally Diverse ◽  
Three Dimensions ◽  
Status Consumption ◽  
Scale Development And Validation ◽  
Domain Specific ◽  
Development And Validation ◽  
The U.S

Although it has been widely discussed in the literature, no scale has yet been developed to measure the consumption aspect of death. This study aims to develop a domain-specific death-related status consumption (DRSC) scale to bridge this gap in the field. Results reveal the following three dimensions of the scale: conspicuousness, planning, and showing respect. In four studies, which collate the views of 1,302 participants, both students and adults, the DRSC demonstrates internal consistency and validity across cultures (Turkey, the U.S., and culturally diverse sample). The importance of such a scale for the field is discussed.

Revisiting rating scale development for rater-mediated language performance assessments: Modelling construct and contextual choices made by scale developers

2021 ◽  
pp. 026553222199405
Author(s):  
Ute Knoch ◽  
Bart Deygers ◽  
Apichat Khamboonruang
Keyword(s):  
Scale Development ◽  
Rating Scale ◽  
Language Assessment ◽  
Performance Assessments ◽  
Language Performance ◽  
Scale Development And Validation ◽  
Post Test ◽  
Development And Validation ◽  
The Impact ◽  
Different Sources

Rating scale development in the field of language assessment is often considered in dichotomous ways: It is assumed to be guided either by expert intuition or by drawing on performance data. Even though quite a few authors have argued that rating scale development is rarely so easily classifiable, this dyadic view has dominated language testing research for over a decade. In this paper we refine the dominant model of rating scale development by drawing on a corpus of 36 studies identified in a systematic review. We present a model showing the different sources of scale construct in the corpus. In the discussion, we argue that rating scale designers, just like test developers more broadly, need to start by determining the purpose of the test, the relevant policies that guide test development and score use, and the intended score use when considering the design choices available to them. These include considering the impact of such sources on the generalizability of the scores, the precision of the post-test predictions that can be made about test takers’ future performances and scoring reliability. The most important contributions of the model are that it gives rating scale developers a framework to consider prior to starting scale development and validation activities.

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