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Over time, the concept of word of mouth (WOM) has spread beyond marketing into other disciplines. This is because WOM is important in decision-making at both the individual and organisational levels. Also, people are more likely to trust recommendations from their peers than those from companies. Therefore, the purpose of this study is to investigate the perceived usefulness of WOM messages for small and medium-sized enterprise (SME) suppliers in participating in Tanzanian public procurement opportunities.

The study collected cross-sectional data from 214 SME suppliers who supply common use items to public procuring organisations in Dodoma City, Tanzania. Structural equation modelling was used to test the direct relationships between study variables, and Hayes' PROCESS macro was used to test for the indirect effect of WOM message delivery on WOM attributes and the perceived usefulness of WOM.

WOM attributes that include expertise differential, perceptual homophily, and trustworthiness are related to the perceived usefulness of WOM. Also, WOM message delivery mediates the relationship between the WOM attributes and the perceived usefulness of WOM in enhancing public procurement participation. Therefore, the study's findings revealed that WOM is applicable in the public procurement context, under which public buyers act as senders and suppliers act as receivers. The latter finds out about public procurement opportunities and responds to them, while the former gives suppliers whatever information they need to respond to public procurement tenders that have been advertised.

Because the study was cross-sectional, it was difficult to determine whether the opinions gathered over time remained consistent. Furthermore, only suppliers who are parties to framework contracts under Government Procurement Services Agency were included in the study. Therefore, the sample was limited to only suppliers supplying common use items to various public organisations in Dodoma City, Tanzania.

This paper integrates the concept of WOM from the marketing discipline and public procurement. As a result, the study adds to the understanding of the use of information transmission in terms of the contribution of WOM messages from public buyers to suppliers to enhance small and medium enterprises' participation in public procurement opportunities.

The aim is to examine the importance small and medium-sized enterprises (SMEs) see in different network partners regarding successful tendering in public procurement, and whether this perception predicts the number of joint bids and wins.

The data were collected by an electronic questionnaire which was sent to the registered users of the leading electronic platform for public procurement in Finland. The data were analysed with statistical methods.

The findings suggest that a favourable perception of the importance of horizontal networks in public procurement is associated with a larger number of joint bids and better success in joint bidding. However, the results do not establish a positive correlation between vertical networks and consortium bidding.

The data were collected from a single EU country. Since the criteria for bidding consortia may vary between countries, different results might have been achieved from other countries.

SMEs should be encouraged to form bidding consortia and acquire related experience. Policymakers should minimise barriers to consortium bidding, e.g. by offering more information. They should also assess the merits of joint bidding because they rarely encourage SMEs to bid as a consortium.

Consortium bidding is a way of enhancing SMEs’ possibilities to participate in public tender contests, even in large contracts.

While consortium bidding has been recognised to enhance SMEs’ possibilities of participating in public procurement, there is limited research into how SMEs’ network collaborations relate to bidding as a consortium.

The purpose of this paper is to analyze the role that food and beverage (F&B) sensory stimuli play in building non-food-themed touristic experiences, such as wellness tourism experiences.

This paper adopts an asynchronous netnographic approach supported by software (T-Lab, 2021). The study was conducted on a database consisting of 3,141 reviews in English, left by customers of 38 wellness facilities (Spa Retreats) spread across 5 continents.

The analysis reveals that F&B stimuli contribute significantly to the tourist's perception of the wellness experience in a two-fold manner: on the one hand, they support the wellness experience, and on the other, through specific proposals (e.g. wine, vegan, detox, etc.), they qualify and differentiate the wellness experience in a hedonic rather than eudaimonic way.

The present study contributes to managerial literature on the topic of gastronomic tourism and wellness tourism by providing, on an international scale, empirical evidence of (a) the importance and role of F&B touchpoints in hybrid gastronomic experiences; and (b) the presence of a variety of “wellness experiencescapes”.

This study is the first attempt to measure the role of F&B in tourists' perceptions of non-food-themed experiences. The research not only provides new data on the wellness experience through a cross-continental analysis but also offers useful theoretical and managerial insights for the design of wellness tourism experiences.

The purpose of this study is to identify the pathway that leads to cities to proceeding towards urban sustainability.

This study intends to propose a theoretical analysis on the city as sustainable community that drives urban development adopting a smart vision for urban growth.

Cities as sustainable urban communities develop smartness as a vision for change understanding and developing the potential offered by information technology reinforcing the community by shaping collaborative governance.

Cities using information technology as a source for urban sustainability develop smartness to evolve as smart communities following a managerial and organizational view towards sustainability as a source for continuous innovation and change within urban ecosystem.

Cities identify a sustainability-oriented and community-driven pathway as a vision for continuous change that helps to improve urban competitiveness, innovation and democracy ensuring high quality of life by strengthening the potential offered by technology-enabled and human-centred smartness.

This paper investigates how two characteristics of language, abstractness vs concreteness and narrativity, influence user engagement in communication exercises on innovation targeted to the general audience. The proposed conceptual model suggests that innovation fits well with more abstract language because of the association of innovation with imagination and distal construal. Moreover, communication of innovation may benefit from greater adherence to the narrativity arc, that is, early staging, increasing plot progression and climax optimal point. These effects are moderated by content variety and emotional tone, respectively.

Based on a Latent Dirichlet allocation (LDA) application on a sample of 3225 TED Talks transcripts, the authors identify 287 TED Talks on innovation, and then applied econometric analyses to test the hypotheses on the effects of abstractness vs concreteness and narrativity on engagement, and on the moderation effects of content variety and emotional tone.

The authors found that abstractness (vs concreteness) and narrativity have positive effects on engagement. These two effects are stronger with higher content variety and more positive emotional tone, respectively.

This paper extends the literature on communication of innovation, linguistics and text analysis by evaluating the roles of abstractness vs concreteness and narrativity in shaping appreciation of innovation.

This paper reports conceptual and empirical analyses on innovation dissemination through a popular medium – TED Talks – and applies modern text analysis algorithms to test hypotheses on the effects of two pivotal dimensions of language on user engagement.

The purpose of the present study is to investigate travel agencies' social media usage and its perceived effectiveness by small- and micro-Italian travel agencies; the pre-pandemic period is compared to the forecasts for the post-Covid-19 period and different characteristics of firms and entrepreneurs are considered. Furthermore, the study analyses the expected benefits in terms of marketing objectives, such as improving brand image and/or personalizing the offer.

The research was developed through a questionnaire administered electronically to travel agents (282 respondents). The resulting data was analyzed by applying the McNemar test, a pairwise t-test and the multivariate analysis of variance.

The results show that social media are strategically significant for travel agents, even though their adoption is influenced by different agency aims; the perceived effectiveness results are diversified according to varying agency typologies.

The two main limitations of the study are its focus on the Italian context only and the missing consideration of the consumer's point of view. The latter prevents an exhaustive assessment of future trends regarding the use of social media in the client–agency relationship.

The study, which focuses on a little debated topic concerning the relationship between social media and SMEs, organically explores various dimensions related to the adoption of social media by small agencies, also considering the impact of the Covid-19 on the perception of travel agents. As a further element of originality, the research takes into consideration the main social platforms separately rather than the set of tools as a whole.

This paper aims to deepen understanding of the role played by new technological tools used in customer–travel agency (TA) interactions by analysing the TA owner/managers' perceptions, pre- and post-Covid-19, regarding the effectiveness of in-store traditional and innovative tools.

This exploratory study is based on a questionnaire-based survey conducted among Italian TAs and distributed via email from September 2020 to January 2021.

The study highlights how, even among TAs, the role of in-store technology is gradually taking on greater importance, and it delves into the specific business and socio-demographic factors that seem to cause differences among agencies.

The study focuses on the Italian context, which does not allow for any generalisations. Furthermore, it is only the travel agent perspective that is observed and not the consumer's.

In addition to helping to bridge the literature gap, this study on in-store technologies focuses on the TAs sector, where human resources and human relationships play a decisive role in customer experience and interaction. The paper investigates the travel agents' point of view regarding the introduction of new in-store technologies; it also highlights their growing adoption and use, overall, despite the travel catalogue still remaining the main tool for interacting with customers. The study also shows how the advent of Covid-19 has increased travel agents' propensity to use digital technologies.

Analytics technologies are profoundly changing the way in which organizations generate economic and social value from data. Consequently, the professional roles of data scientists and data analysts are in high demand in the labor market. Although the technical competencies expected for these roles are well known, their behavioral competencies have not been thoroughly investigated. Drawing on the competency-based theoretical framework, this study aims to address this gap, providing evidence of the emotional, social and cognitive competencies that data scientists and data analysts most frequently demonstrate when they effectively perform their jobs, and identifying those competencies that distinguish them.

This study is exploratory in nature and adopts the competency-based methodology through the analysis of in-depth behavioral event interviews collected from a sample of 24 Italian data scientists and data analysts.

The findings empirically enrich the extant literature on the intangible dimensions of human capital that are relevant in analytics roles. Specifically, the results show that, in comparison to data analysts, data scientists more frequently use certain competencies related to self-awareness, teamwork, networking, flexibility, system thinking and lateral thinking.

The study was conducted in a small sample and in a specific geographical area, and this may reduce the analytic generalizability of the findings.

The skills shortages that characterize these roles need to be addressed in a way that also considers the intangible dimensions of human capital. Educational institutions can design better curricula for entry-level data scientists and analysts who encompass the development of behavioral competencies. Organizations can effectively orient the recruitment and the training processes toward the most relevant competencies for those analytics roles.

This exploratory study advances our understanding of the competencies required by professionals who mostly contribute to the performance of data science teams. This article proposes a competency framework that can be adopted to assess a broader portfolio of the behaviors of big data professionals.

The paper presents a research methodology that could be used to carry out a systematic literature review on the current state of the art of the technological development in the field of the digitalization and unphysicalization of supply chains (SCs). A three-dimensional conceptual framework focusing on the relationship between Digital Technologies (DTs), business processes and SC performance is presented. The study identifies the emerging practices and areas of SC management that could be positively affected by the implementation of DTs. With this in mind, the emerging practices have a high probability to be considered future best practices.

A systematic literature review was conducted on DTs in SC management. The methodology used aims to algorithmically and objectively standardize the information incorporated into thousands of scientific documents. Selected papers were analyzed to investigate the recent literature on SC digitalization and unphysicalization. A total of 87 DTs were selected to be analyzed and subsequently grouped into 11 macro-categories. 17 business processes linked to SC management are taken into account and 17 different impacts on SC management are presented. From a set of 1,585 papers, 5,060 emerging practices were collected and singularly summarized combining DT, business process and impact on SC performance.

A unique analytical perspective provided represents an important evolution when trying to organize the current literature on SC management. The widely used DTs in the practices and the most considered business processes and impacts are highlighted and described. The three-dimensional conceptual framework is graphically represented to allow for the emergence of the best combinations of DT, business process and impact on SC performance. These combinations suggest the most promising areas for the implementation of the emerging practices for SC digitalization and unphysicalization. Additional findings identify and define the most important contexts in which Big Data contributes to SC performance.

The research methodology used is offering progress through which to systemize the current practices as well as detect the potential of digitalization and unphysicalization under the three-dimensional conceptual framework. The paper provides a structured proposal for promising future research directions, assuming that the five research gaps as findings of this research could be the basis for prescriptions, as well as a future research agenda and theory development. Moreover, this research contributes to current managerial issues concerning SC management, referred to data and information management, efficiency and productivity of SC processes, market performance, SC relationship management and risk management in SC.

This paper aims to examine the influence of big data (BD) on human resource management (HRM). It defines how these data can be a useful tool in the decision-making process of companies’ human resources to obtain a sustainable competitive advantage.

This paper emphasizes the need to develop a holistic approach to emphasize these relations. Starting from these observations, the document proposes empirical research employing Eurostat data to test the benefits of BD in HRM decisions that optimize the relationship between training, productivity, and well-being.

The findings estimate HRM decisions and their impact in a broader macroeconomic and microeconomic perspective.

BD research is emerging as a crucial discipline in human resources. To overcome this problem, the paper develops an analysis of the literature on cleaner production and sustainability context; it creates a conceptual framework to clarify whether the existing studies consider the growing intensity of BD on human resources.