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The amount of expenditure required to scale up smart infrastructure projects is often enormous. Public–private partnership (PPP) is one of the proposed and viable solutions for addressing the financial issues of smart infrastructure projects. However, the most important criterion in choosing PPP over other procurement methods is that the project under the PPP method should deliver the best value for money (VFM) while also including defined economic and social objectives, rather than relying exclusively on efficiency factors. While PPP provides a variety of advantages for developing infrastructure, significant challenges may arise as a result of smart infrastructure initiatives. Diverse PPP approaches have been used to build smart infrastructure around the world, with varying degrees of success. The purpose of this study is to identify the VFM factors that are suitable for smart infrastructure projects and to examine the impact of their interrelationships.

The methodology for this study consisted of three stages: identifying VFM factors in PPP for smart cities based on an extensive literature review, analyzing data from a sample of 90 PPP practitioners using a Likert scale questionnaire and estimating interrelationships among VFM factors using structural equation modeling (SEM).

After performing a SEM analysis on the gathered data, the best fitted measurement model consisted of 11 VFM factors acting as indicators of three latent variables for smart infrastructure projects (clear output specification for measuring performance, efficient dispute resolutions, optimized risk allocation and business models, improved and integrated community services, economic sustainability, appropriate capital structure and collaterals, smart asset management, diffusion of smart technologies, technical innovation, Ince) and three clusters of their interrelations (economic sustainability, integration drive, optimization and smart technology).

This research has resulted in a useful and readily applicable list of factors and clusters of value for money criteria for the implementation of PPP in smart infrastructure projects, assisting public sector management by providing a measure of pre-conditions that can be used as an assessment tool when determining whether a PPP should be used instead of conventional methods.

In addition to the theoretical and methodological contributions, this study produced a usable and readily adaptable list and clusters of value for money factors for the implementation of PPP in smart infrastructure projects.

Governments all over the world are increasingly entering into partnership agreement with the private sector through public–private partnership (PPP) models for the development and management of public projects and services. Thus, the purpose of this study is to first examine the factors that enter into government's attitude, value for money (VFM) and PPP-based waste management projects (WMPs) in Ghana. Further, this study examines the relationship between PPP-based waste management and VFM, along with the mediating role of government's attitude.

Data were collected through a survey questionnaire from four metropolitan municipal assemblies of Ghana. This study’s sample consisted of 230 respondents, and structural equation modeling was employed to conduct an empirical analysis. The structured model had evaluated the critical success factors (CSFs). Subsequently, the measurement model helped in the path analysis of the proposed model.

The authors found a nonpositive relationship between PPP-based WMPs and VFM; however, government's attitude will influence the achievement of VFM. Reliance on quality targets is ranked as the highest CSF in PPP-based WMPs in Ghana. Also, incentives for private sector participation and effective private sector participation are ranked as the least CSFs.

Most of the questionnaire's items were self -rated by employees of municipal assemblies who were not policymakers. This must have increased the possibility of common method bias. In addition, the study was limited to Ghana (a developing economy); therefore, the generalization of the results should be done with much caution.

This study suggests to develop a network of private sector consortiums considering international and national participants who are engaged in PPPs in order to ensure successful delivery and hence valuing for money.

This study offers a novel perspective to investigate the relationship of PPP-based WMPs and VFM and shows how the government's attitude mediates this relationship.

This study aimed at determining the decisive factors for achieving sustainable procurement in construction projects.

Questionnaire survey of principal stakeholders involved in construction project delivery within client, consulting and contracting organisations in Nigeria were conducted to assess stakeholders' perspectives on the decisive factors for achieving sustainable procurement in construction projects using importance weights. A total of 243 questionnaires were distributed and a response rate of 51% (123 questionnaires were adequately filled and returned) was achieved. Descriptive and inferential statistics were utilised in analysing elicited data.

The results from data analysis showed that “satisfaction – including workforce satisfaction and user satisfaction”, “value for money” and “creating a healthy, nontoxic environment – including high indoor air quality” were the top most three decisive factors for achieving sustainable procurement in construction projects in Nigeria.

An understanding of these decisive factors can help principal stakeholders in the construction industry of developing countries to facilitate the development of methods required in supporting the adoption of sustainable procurement practice.

The social interaction between customers and individual employees can be critical for business success. Similarly, factors such as customer convenience and value for money are important to repeat purchase. Frontline employees often face the dilemma of how much social interaction is appropriate. Data were collected in a cross‐sectional survey of 406 customers to determine the relative importance of social influence on repurchase intentions across three services. The findings show that social influence variables can be as important as convenience and value for money factors. Further, the data indicate that the nature of the interaction is the critical factor, rather than the amount of social interaction. For naturopathic clinics, the enthusiasm shown by the health care professional is the key factor, whereas in hairdressing salons, making the customer feel relaxed and comfortable is critical.

The purpose of this paper is to develop and validate a positioning taxonomy for the FMCG sector in the Indian emerging market, because a review of the literature shows that existing positioning typologies/taxonomies are based on managerial perspectives rather than consumer/customer perceptions and have only been developed for advanced countries. This study helps to solve this problem by creating a positioning taxonomy for emerging markets.

In three phases, this study uses a systematic procedure for developing and validating a scale. Phase 1 consists of item generation and selection based on a review of the literature, focus group sessions and expert opinion. The second phase entails scale refinement via exploratory factor analysis. Confirmatory factor analysis is used in Phase 3 to establish convergent, discriminant and nomological validity.

This study’s findings include a consumer-derived taxonomy of positioning strategies that have been tested and validated. There were four distinct positioning strategies that emerged: value for money, being local, premiumization and product attributes.

The main implication of this paper is to support researchers in developing and validating measurement scales. The limitations include target populations, choice of industry and geography and cross-sectional time horizon of this study.

This study’s practical implications are the four positioning strategies that FMCG managers, advertising and marketing experts in the emerging Indian market could adopt to position their fast moving consumer goods (FMCG) products to achieve the overall success of their organizations.

Researchers are provided step-by-step guidance on how to develop and validate a measurement scale.

This study adds to the marketing literature by providing both a solid theoretical foundation and a validated instrument for the operationalization of positioning strategies.

The purpose of this paper is to develop the scale of destination image (SDI) to assess destination image affecting the consumption associated with tourism.

The scale was developed through four steps: review of literature, formulation of a preliminary scale, confirmatory factor analysis (CFA), and examination of predictive validity by a structural equation modeling (SEM) analysis. The preliminary scale consisted of 32 items. Employing a systematic sampling method, a total of 199 research participants responded to a mail survey.

In the CFA with maximum likelihood estimation, four factors with 18 pertinent items are retained. This four‐factor model displays good fit to the data, preliminary construct validity, and high reliability. The SEM analysis reveals that the SDI is found to be positively predictive of tourism behavioral intentions.

This paper develops an original multi‐dimensional 18‐item scale measuring destination image from the perspective of tourists, which can provide academicians and practitioners with a reliable and valid analytical tool to assess destination image.

An Indian emerging market positioning taxonomy has been developed in response to the literature review's findings that existing positioning typologies/taxonomies are based on managerial perspectives rather than consumer/customer perceptions and are only developed for advanced countries.

This study employs a three-step process for developing and validating a scale in order to conduct its research. In the first phase, items are generated and selected based on a literature review, focus groups and expert opinion. Exploratory factor analysis is used to fine-tune the scale in the second phase. Phase 3 uses CFA to establish convergent, discriminant and nomological validity through the use of CFA.

A consumer-based taxonomy of positioning strategies were developed as a result of the research. Six distinct positioning strategies emerged that was named (1) Value for Money, (2) Functional (3) Premiumisation, (4) Promotional Campaign, (5) Brand Name (6) Visual Aesthetics.

Developing and validating measurement scales will be made easier with the help of this paper. Target populations, industry and geography selection and a cross-sectional time horizon are just a few of the study's drawbacks.

The study's practical implications include six factors/strategies that managers, advertising executives and marketing experts of consumer electronics companies in the Indian emerging market could use to position their products, resulting in the overall success of their organisations.

This study adds to the marketing literature by providing a solid theoretical foundation and a validated instrument for operationalising positioning strategies.

This study aims to develop a theoretical concept by examining the country image effects on luxury value perception, a matter past studies have overlooked. Multiple facets of country image, cognitive and affective dimensions, have been developed to evaluate perceived luxury value and purchase intention. However, no prior studies have considered all the types of perceived luxury values: utilitarian value, hedonic value, symbolic value and economic value, considered in relation to cognitive and affective country image in an emerging country’s market. Accordingly, this study has attempted to explore the ways Thai luxury consumers perceive the image of the country and the influence of the perceived value of Thai luxury brands, to learn which country attributes strengthen the luxury brand’s value and customers’ purchase intention.

A total of 407 Thai respondents, who were luxury-product consumers who knew and previously had bought either Thai luxury brands or global luxury brands, comprised the final sample examined. Structural Equation Modeling was employed in this research to test the research hypotheses. The structural model proposed a causal relationship between two endogenous constructs, cognitive and affective country images, and five exogenous constructs: utilitarian value, hedonic value, symbolic value, economic value and purchase intention.

The findings confirmed that countries are like brands in that the perceived image of each country’s aspects, cognitive and affective, influences the perceived value in each dimension differently, and so affects purchase intention. This implies that the evaluation of perceived quality or perceived value for money, as in past studies, cannot accurately demonstrate what particular benefits consumers receive when they utilize the country-image cue. Country image has both symbolic and emotional significances for consumers. The findings have provided a more precise measure of the effects of country image as well as important information on country positioning the in the world market.

There are some limitations in this study. The reliance on Thai samples from one city has limited the generalizability of the findings. Moreover, this study considered only one country of brand origin, and only one product category has been chosen as the stimulus, which together are the major limitations of this study. Future research could also consider further testing country image effects on value perception with other extrinsic attributes, rather than using a single cue, as this study did. Additionally, antecedent variables that may have an influence on country-image effects should be considered in future studies.

The relation of country image and value perception could help both governments and companies support their national brands more effectively, or to export products in accordance with the image aspect that most strongly impacts consumers’ positive perception of value. Moreover, it would be valuable for companies producing luxury products to know which country attributes strengthen the brand’s value. Luxury-brand managers will have to take these aspects into consideration when developing their communications strategies (Krupka et al., 2014).

There is a lack of research as regards the impact of a brand name’s perceived origin on the luxury perception associated with that brand (Salciuviene et al., 2010). This research is the first to investigate the theoretical framework of luxury value perception found in relation to cognitive and affective country images. From an academic perspective, this study sought to increase the theoretical research relating to the ambiguous conceptualization of the country-image effect on consumers’ perception of value in luxury products. Additionally, the relation of country image to luxury value perception could help both governments and companies support their national luxury brands more effectively, or to export luxury products in accordance with the image aspect that most strongly impacts consumers’ positive perception of value.

The purpose of this paper is to explore the antecedents of actual purchase behavior vs satisfaction at the point of purchase and the antecedents of actual unplanned vs planned purchase behavior.

By using both survey and actual purchase data from a total of 3,300 shoppers of a Korean fast fashion brand, the multivariate regression analysis and two separate logistic regression analyses were compared to respond to the research questions.

The noticeable point of the findings is that the factors influencing the level of satisfaction and the probability to purchase were different. As common factors for both actual purchase and satisfaction, value for money, and affordable price are the first things that the practitioners have to keep in mind when developing a strategy for fast fashion stores. However, unplanned shoppers, who are over half of buyers, are negatively influenced by the affordable prices in their buying decisions.

The results of this study have implications for the retailers, especially those selling fast fashion products in South Korea.

The current study has merit because of its use of secondary data collected by a large marketing research company on Korean domestic fast fashion brand. In particular, the combination of the large sample survey data collected right after shopping and the actual receipt of purchase has its unique value.

Relationship marketing is widely accepted as the most successful way to build customer loyalty and competitive advantage in a mature, competitive market. The study investigates customer loyalty programmes within the context of service quality in Swedish hotels using an online questionnaire survey. Five service quality factors were identified: technical, functional, environmental, technological convenience and technological product dimensions, which supports the Northern European service quality model with the addition of technological dimensions. Five loyalty programme factors were also established and factor scores were mainly undifferentiated on the basis of socio-demographic and behavioural variables. The implications of the results are discussed and recommendations for further research are made.