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This paper focuses on multi-objective order allocation with product substitution for the vaccine supply chain under uncertainty.

The weighted-sum minimization approach is used to find a compromised solution between three objectives of minimizing inefficiently vaccinated people, postponed vaccinations, and purchasing costs. A mixed-integer formulation with substitution quantities is proposed, subject to capacity and demand constraints. The substitution ratios between vaccines are assumed to be exogenous. Besides, uncertainty in supplier reliability is formulated using optimistic, most likely, and pessimistic scenarios in the proposed optimization model.

Covid-19 vaccine supply chain process is studied for one government and three vaccine suppliers as an illustrative example. The results provide essential insights for the governments to have proper vaccine allocation and support governments to manage the Covid-19 pandemic.

This paper considers the minimization of postponement in vaccination plans and inefficient vaccination and purchasing costs for order allocation among different vaccine types. To the best of the authors’ knowledge, there is no study in the literature on order allocation of vaccine types with substitution. The analytical hierarchy process structure of the Covid-19 pandemic also contributes to the literature.

This study aims to investigate the impact of social media fitness influencers (SMFIs) on buyers’ purchase decisions by analyzing the factors that determine their influence. Furthermore, it aims to determine the relative influence of different genders of SMFIs on buyers’ decisions regarding supplement purchases.

The research consisted of two phases: a contextual study examining the characteristics of social media influencers and their impact on supplement purchase decisions and a comparative study comparing the influence of different genders of social media influencers. A survey was conducted online involving 426 Thai social media users who follow influencers to obtain the results for both phases.

The results revealed that information credibility and expertise were significant characteristics of SMFIs that had a significant impact on buyers’ purchase decisions. However, other characteristics such as the number of followers, content and attractiveness of SMFIs did not show any correlation with the buyers’ purchase decisions. Additionally, the study identified a positive influence of gender matching between SMFIs and respondents on purchase decisions.

This study emphasizes how the characteristics of social media influencers in Thailand influence buyers’ decisions to purchase dietary supplements.

The purpose of this paper is to analyse the impact of consumers’ perceptions of the enjoyment and originality of firm-generated content (FGC) posted on Instagram on affective customer engagement (CE). In addition, an examination is undertaken of affective CE as a driver of customer behaviour.

The paper takes a quantitative approach using a sample of 334 women followers of an eco-friendly restaurant Instagram account. After validation of the measurement scales, the hypotheses were tested through structural equation modelling. Drawing on the stimuli-organism-response framework the authors posit that consumers’ perceptions of the enjoyment and originality of Instagram posts generate affective CE, which, in turn, influences customer behaviour.

The results showed that the perceived enjoyment and perceived originality of Instagram posts generated by an eco-friendly restaurant have a positive influence on affective CE, which, in turn, affects consumers’ recommendation behaviours, intention to follow the restaurant’s advice on Instagram and intention to revisit the restaurant.

This research provides novel insights into how the perceived enjoyment and originality of FGC posted on Instagram increases women’s affective engagement and expands knowledge of how affective CE might increase positive electronic word-of-mouth, intention to follow the restaurant’s advice and repurchase intentions.

El objetivo de este trabajo es analizar el impacto de las percepciones de los consumidores sobre el disfrute y la originalidad del contenido generado por la empresa (CGE) publicado en Instagram en el engagement afectivo del cliente. Además, se examina el engagement afectivo del cliente como impulsor de su comportamiento.

El artículo adopta un enfoque cuantitativo utilizando una muestra de 334 mujeres seguidoras de la cuenta de Instagram de un restaurante ecológico. Tras la validación de las escalas de medición, las hipótesis se testaron mediante un modelo de ecuaciones estructurales. Basándonos en el marco S-O-R, se postula que las percepciones de los consumidores sobre el disfrute y la originalidad de las publicaciones de Instagram generan un engagement afectivo del cliente que, a su vez, influye en su comportamiento.

Los resultados mostraron que la percepción de disfrute y la percepción de originalidad de las publicaciones de Instagram generadas por un restaurante ecológico tienen una influencia positiva en el engagement afectivo del cliente, que, a su vez, afecta a los comportamientos de recomendación de los consumidores, la intención de seguir los consejos del restaurante en Instagram y la intención de volver a visitar el restaurante.

Esta investigación proporciona una visión novedosa sobre cómo la percepción del disfrute y la originalidad de los CGE publicados en Instagram aumenta el engagement afectivo de las mujeres, y amplía el conocimiento sobre cómo el engagement afectivo de los clientes podría aumentar la comunicación boca-oído electrónica (eCBO) positiva, la intención de seguir los consejos del restaurante y las intenciones de recompra.

本文旨在分析消费者对Instagram上发布的企业生成内容（FGC）的愉悦度和原创性的感知对情感性顾客契合的影响。此外, 本文还对作为顾客行为驱动因素之一的情感性顾客契合进行了研究。

本文采用定量方法, 以一家生态友好餐厅的Instagram账户的334名女性粉丝为研究样本。在验证了测量量表有效性后, 通过结构方程模型对假设进行了检验。基于S-O-R框架, 我们认为消费者对Instagram帖子的愉悦度和原创性的感知会产生情感性的顾客契合, 进而影响顾客行为。

研究结果显示, 消费者对生态友好餐厅在Instagram上所发帖子的愉悦度和原创性的感知对情感性顾客参与有正向影响, 而情感性顾客契合进而影响消费者在Instagram上的推荐行为、采纳餐厅建议的意愿和重访该餐厅的意愿。

这项研究对Instagram上发布的FGC的愉悦度和原创性消费者感知如何增加女性的情感契合提供了新的见解, 并扩展了关于情感性顾客契合如何增加积极的电子口碑、采纳餐厅建议的意愿和再次购买意愿的知识。

Social media networks like Twitter, Facebook, WhatsApp etc. are most commonly used medium for sharing news, opinions and to stay in touch with peers. Messages on twitter are limited to 140 characters. This led users to create their own novel syntax in tweets to express more in lesser words. Free writing style, use of URLs, markup syntax, inappropriate punctuations, ungrammatical structures, abbreviations etc. makes it harder to mine useful information from them. For each tweet, we can get an explicit time stamp, the name of the user, the social network the user belongs to, or even the GPS coordinates if the tweet is created with a GPS-enabled mobile device. With these features, Twitter is, in nature, a good resource for detecting and analyzing the real time events happening around the world. By using the speed and coverage of Twitter, we can detect events, a sequence of important keywords being talked, in a timely manner which can be used in different applications like natural calamity relief support, earthquake relief support, product launches, suspicious activity detection etc. The keyword detection process from Twitter can be seen as a two step process: detection of keyword in the raw text form (words as posted by the users) and keyword normalization process (reforming the users’ unstructured words in the complete meaningful English language words). In this paper a keyword detection technique based upon the graph, spanning tree and Page Rank algorithm is proposed. A text normalization technique based upon hybrid approach using Levenshtein distance, demetaphone algorithm and dictionary mapping is proposed to work upon the unstructured keywords as produced by the proposed keyword detector. The proposed normalization technique is validated using the standard lexnorm 1.2 dataset. The proposed system is used to detect the keywords from Twiter text being posted at real time. The detected and normalized keywords are further validated from the search engine results at later time for detection of events.

This paper studies the impact of certain characteristics of companies to training programs in the Industry 4.0 (I4.0) context. Partial objective is to rank the main human barriers companies have to overcome so that they can digitalize.

To accomplish the objectives, a closed-ended questionnaire was sent to Slovak and Italian companies and analyzed using statistical nonparametric tests. The partial objective was achieved using the so-called Henry-Garrett’s ranking method.

Results show the significance impact of companies’ characteristics such as foreign participation and company dimension on training practices whereas economic situation (financial health) seems not to influence it.

The study may lack generalizability as only 102 answers were collected. Perhaps, the outcome would be different with another sample from other countries. Moreover, using closed-ended questions, certain features may not have been covered.

Companies should always guarantee training for the resulted benefits. It is fundamental for organizations to find a time gap, resources and professionals who can teach these programs. Even when companies are incurring financial problems they should do so since human capital development can increase their competitiveness. The most critical barriers should be carefully addressed by companies. Training can help to overcome I4.0 barriers related to Human Resources (HR) and contribute to its growth.

This paper gives insights of the impact of certain characteristics of companies to the training programs. Because past research has limited their analysis on the identification of barrier, its novelty lies in the attempt to rank the most significant barriers among those detected by other authors in previous research.

Agri-food firms face many challenges when assessing and managing their performance. The purpose of this research is to determine important factors for an integrated agri-food supply chain performance measurement system.

This research uses the Peruvian kiwicha supply chain as a meaningful context to examine critical factors affecting agri-food supply chain performance. The research uses interpretative structural modelling (ISM) with fuzzy MICMAC methods to suggest a hierarchical performance measurement model.

The resulting kiwicha supply chain performance management model provides insights for managers and academic theory regarding managing competing priorities within the agri-food supply chain.

The model developed in this research has been validated by cooperative kiwicha associations based in Puno, Peru, and further refined by experts. Moreover, the results obtained through ISM and fuzzy MICMAC methods could help decision-makers from any agri-food supply chain focus on achieving high operational performance by integrating key performance measurement factors.

This study aims to explore the risk level of pufferfish and lionfish by comparing them among Turkish marines. In addition, this study focuses on comparing pufferfish with lionfish to determine which one is more dangerous for marine economics in Türkiye.

This study employs descriptive content analysis to give some qualitative evidence for the related literature. As a sample case, Türkiye was selected in the context of being a country in the Mediterranean Basin. By reviewing recent news, reports and publications, this study firstly will conclude how invasive alien marine species affect Turkish marines. Then, pufferfish and lionfish will be compared together to determine the risk level of these species for Turkish marine economics.

As a result of descriptive findings, it is seen that captured fishery has been declined in Turkey recently due to many factors including climate change, global warming, overfishing, environmental pollution and attack of invasive alien species. Pufferfish and lionfish are seen as the most spread marine species in Turkish marines. When comparing pufferfish with lionfish, it is seen that pufferfish is more dangerous than lionfish for Turkish marine economics.

This study provides descriptive and original findings as a result of comparison of pufferfish and lionfish due to their impact on Turkish marine economy. It is thought to give useful importation for the fight against invasive alien marine species in the Mediterranean Basin. Future studies can investigate different invasive alien marine species and their impacts on marine economics in the Mediterranean Basin.

Based on the Turkish cases, it is determined that there should be different policies for fight against invasive alien marine species in the Mediterranean Sea. Each marine species has different impacts on seafood market. Some of marine species can be consumed as a seafood product but some of them can't be consumed that policy makers should develop other strategies such as catching them to reduce their population in the local marines.

The spread of invasive alien marine species is still continuing in the Mediterranean Basin. Each country has been affected by the attack of invasive alien marine species. To keep sustainable seafood market and marine economics, countries should both implement common policies and develop policies specific to threats in their own countries.

This study reveals key points in the rise of invasive alien marine species in Turkish marines at first. The main contribution of this study is to be a recent sample for a country which is under attack by invasive alien marine species by giving a comparison of pufferfish and lionfish.

This study analyzes the impact of sports social media on a country regarding three international events connected to the brand Spain. It examines (1) the use and importance of various social media platforms in sports events and (2) identifies the countries generating the most social media content.

A total of 1,711,084 posts were collected for analysis, focusing on FIFA World Cup Qatar 2022, XLI Marathon Valencia Trinidad Alfonso 2022 and Davis Cup 2022, with a particular emphasis on the Spain brand. Through Atribus, diverse social media data were recovered and analyzed. Later, we recommended employing various metrics and ANOVAs to address the research questions. Additionally, we conducted a sentiment analysis.

The results show differences between (1) the use and relevance of social network platforms and events and (2) the content generated by different countries. The practical implications offer valuable insights for sports event organizers, destination managers and other stakeholders. The research implications suggest potential avenues for future research based on the observed patterns and behaviors in social media posts related to sports events and Brand Spain.

(1) Some papers have studied the role of sports events’ social media, ignoring the comparison among different social media platforms; (2) usually, previous literature has focused on a single event or sport and (3) although there is considerable research related to the strategic and operational Inés Küster Boluda Inés Küster Boluda role of social media, there is less systematic analysis related to the extent sports events use social media in general and in specific social media platforms and virtually nonexistent studies that employ index measurements.

本研究擬分析就三個與西班牙品牌有關的國際體育賽事而言，體育社交媒體對一個國家的影響。俱體而言，本研究擬探討： (一) 、各體育賽事社交媒體平台的使用和其重要性，以及 (二) 、是哪些國家生成最多的社交媒體內容。

研究人員收集共計1,711,084帖子以便進行分析;其焦點放在2022年卡塔爾世界盃 (即2022年國際足聯世界盃) ，2022年特尼利尼達阿方索馬拉松賽－瓦倫西亞 (XLI Marathon Valencia Trinidad Alfonso 2022) 和2022年台維斯盃;研究人員特別把重點放在西班牙品牌上。研究人員透過 Atribus 重新取得多種多樣的社交媒體數據，然後進行分析。之後，研究人員建議使用不同的度量和方差分析去處理各研究問題，以及進行了情感分析。

研究結果顯示了以下兩者之差異：(一) 、社交網絡平台和比賽項目的使用和關聯，以及 (二) 、不同國家生成的內容。從這個研究發現，體育賽事的籌辦者、目的地管理人員和其它利益相關者，均會獲得寶貴的實務啟示;至於就未來學術研究的路向而言，學者和研究人員或許可觀察關於體育賽事和西班牙品牌的社交媒體帖子裡顯示的模式和行為，從而找到合適的研究路徑。

本研究有以下的貢獻：(一) 、從前的研究多只探討關於體育賽事的社交媒體所扮演的角色，而忽略了要比較不同社交媒體平台的需要;(二) 、過去的文獻通常聚焦於單一的賽事或運動上;以及 (三) 、雖然探討關於社交媒體在戰略上和在操作上所扮演的角色的研究為數不少，但甚少研究、就體育賽事大體使用社交媒體的程度，或使用特定的社交媒體平台的程度進行分析和探討。再者，幾乎沒有學者或研究人員在有關的研究上使用指標測量法;就此三點而言，本研究可說填補了有關的研究空白。

The aim of this paper is to review metrics and develop a framework for measuring leagile supply chain. Metrics that are applicable in the lean, agile and leagile strategies are identified in the literature and are then combined into a framework that can reflect both agile and lean strategies – the leagile supply strategy.

This work is based on the systematic literature review. Literature was collected, then lean and agile metrics were extracted, analysed, counted and grouped into the framework. Findings are compared against literature on leagile supply chain.

Findings indicate that there are sets of metrics specific to lean strategy, such as are process-focused, cost, productivity, inventory and delivery-based metrics, and specific to agile such as flexibility, responsiveness, information sharing and cooperation. There are also metrics common for both strategies; they are related to time, quality and customer satisfaction. Lean measures are tangible and focused on internal processes and products, while agile measures are targeted at external environment.

The framework could be used by practitioners as a starting point for performance system design.

There is a need to stop looking at lean and agile as separate and distinct supply strategies. Results of this research indicate that lean and agile are interlinked, both are focusing on customer satisfaction and quality. Applying a proposed set of metrics enables to design supply chain measurement system that reflects both strategies to measure leagile supply chain. The framework could be used by practitioners as a starting point for performance system design.

Based on the main studies presented in the literature, this work aims to examine the level of student satisfaction towards the on-campus accommodation service provided by an Italian university. Notably, the objectives of the study are twofold: (1) to examine the mediating role of student satisfaction on the relationship between university on-campus accommodation service quality and word-of-mouth and (2) to determine whether there is any significant difference in students' satisfaction towards on-campus accommodation in terms of gender and the halls of residence.

The study is based on the results of a survey carried out through an online questionnaire by 381 students living on campus at the University of Urbino.

The findings revealed that the quality perceived by university students in relation to individual services had a positive impact on their general satisfaction towards the halls of residence experience.

The study presents some limitations such as lack of temporal comparisons, a focus on specific service quality items and the fact that it refers to a single Italian university.

The findings of this study will help the management of public universities to improve the quality of services in their halls of residence for the satisfaction of their students.

To the authors' knowledge, there have been no previous studies about on-campus accommodation service quality conducted in Italy. The study contributes to enrich the service quality literature, confirming both that the sum of the quality of individual elements is not as the overall satisfaction and the outcome intention of positive WOM depends not only on service quality attributes, but also from an overall evaluation of satisfaction.