Abstract Analysing gender differences in key industries is one of today's priorities to achieve a more egalitarian society. In hospitality, the classic approach is through Mincerian regressions or wage decompositions. This paper addresses this issue through Partial Least Squares Structural Equation Modelling (PLS-SEM) and Importance-Performance Map Analysis (IPMA). The results confirm and measure the relations between Human Capital, Labour Conditions, Market, and Wages, and examine the relative importance and performance of each indicator in explaining Wages. Therefore, there are narrow gender differences, and measures are suggested. The main limitation lies in the design of the constructs. This article contributes to the literature by providing an alternative analysis.
{"title":"Does the gender of hospitality employees affect the definition of wages in Spain?","authors":"F. Sánchez-Cubo, José Mondéjar-Jiménez","doi":"10.2478/mmcks-2023-0024","DOIUrl":"https://doi.org/10.2478/mmcks-2023-0024","url":null,"abstract":"Abstract Analysing gender differences in key industries is one of today's priorities to achieve a more egalitarian society. In hospitality, the classic approach is through Mincerian regressions or wage decompositions. This paper addresses this issue through Partial Least Squares Structural Equation Modelling (PLS-SEM) and Importance-Performance Map Analysis (IPMA). The results confirm and measure the relations between Human Capital, Labour Conditions, Market, and Wages, and examine the relative importance and performance of each indicator in explaining Wages. Therefore, there are narrow gender differences, and measures are suggested. The main limitation lies in the design of the constructs. This article contributes to the literature by providing an alternative analysis.","PeriodicalId":505081,"journal":{"name":"Management & Marketing","volume":"41 4","pages":"449 - 458"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139193482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The increased price of energy and the limited resources of the planet have increased the worldwide attention to renewable energy resources. The purpose of this paper is to present the European context regarding these renewable sources. In addition, the evolution over time of some indicators relevant to this field is described for better shaping the general audience’s understanding of the current status on the renewable sources. Using a statistical approach, the paper ranks the member states in terms of the consumption of renewable resources in areas such as transport and electricity. Throughout the research, it has been noted that there are significant differences between member states. An example to reinforce what was previously described is the fact that, for the share of renewable energy in gross final energy consumption, the minimum value is approximately eight times lower than the maximum. Additionally, forecasting methods of indicators analysed based on historical data were applied to establish the course of EU27 countries for the year 2030, when the implementation period of the Sustainable Development Goals ends.
{"title":"Greening the Future: Europe's Renewable Energy Landscape in 2030","authors":"Alexandra-Nicoleta Ciucu Durnoi, Camelia Delcea","doi":"10.2478/mmcks-2023-0022","DOIUrl":"https://doi.org/10.2478/mmcks-2023-0022","url":null,"abstract":"Abstract The increased price of energy and the limited resources of the planet have increased the worldwide attention to renewable energy resources. The purpose of this paper is to present the European context regarding these renewable sources. In addition, the evolution over time of some indicators relevant to this field is described for better shaping the general audience’s understanding of the current status on the renewable sources. Using a statistical approach, the paper ranks the member states in terms of the consumption of renewable resources in areas such as transport and electricity. Throughout the research, it has been noted that there are significant differences between member states. An example to reinforce what was previously described is the fact that, for the share of renewable energy in gross final energy consumption, the minimum value is approximately eight times lower than the maximum. Additionally, forecasting methods of indicators analysed based on historical data were applied to establish the course of EU27 countries for the year 2030, when the implementation period of the Sustainable Development Goals ends.","PeriodicalId":505081,"journal":{"name":"Management & Marketing","volume":"51 7","pages":"411 - 426"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139193814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Spatial data analysis approaches have grown in popularity in recent years as there has been an increased interest in studying migration at the regional level. We employed in our analysis the Nomenclature of Territorial Units for Statistics (NUTS) level, which offers a more thorough view of migratory patterns inside a nation as well as among EU countries.Using spatial data analytic tools, this research aims to investigate the key determinants of international migration at the NUTS2 level. Using data from the Eurostat database, we undertake an extensive analysis of migration movements in a sample of European Union countries. We apply spatial econometric models to examine the relationship between crude rate migration and other relevant variables as independent variables. Although the available data at the NUTS2 level of regional ranking are limited, we believe that we included the most comprehensive set of relevant variables in our analysis.Our study contributes to the existing literature on migration determinants by highlighting the importance of spatial analysis techniques in understanding migration factors at the NUTS2 level.
{"title":"Mapping and modelling the main determinants of Migration Flows at the NUTS2 Level in European Union using Spatial Data Analysis Techniques","authors":"Elena-Maria Prada, Smaranda Cimpoeru","doi":"10.2478/mmcks-2023-0032","DOIUrl":"https://doi.org/10.2478/mmcks-2023-0032","url":null,"abstract":"Abstract Spatial data analysis approaches have grown in popularity in recent years as there has been an increased interest in studying migration at the regional level. We employed in our analysis the Nomenclature of Territorial Units for Statistics (NUTS) level, which offers a more thorough view of migratory patterns inside a nation as well as among EU countries.Using spatial data analytic tools, this research aims to investigate the key determinants of international migration at the NUTS2 level. Using data from the Eurostat database, we undertake an extensive analysis of migration movements in a sample of European Union countries. We apply spatial econometric models to examine the relationship between crude rate migration and other relevant variables as independent variables. Although the available data at the NUTS2 level of regional ranking are limited, we believe that we included the most comprehensive set of relevant variables in our analysis.Our study contributes to the existing literature on migration determinants by highlighting the importance of spatial analysis techniques in understanding migration factors at the NUTS2 level.","PeriodicalId":505081,"journal":{"name":"Management & Marketing","volume":"29 7","pages":"594 - 607"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139196352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dávid Máté Hargitai, Annamária Sasné Grósz, Zsófia Sas
Abstract Hallyu, the global cultural phenomenon that is also known as the Korean Wave affects its fans in terms of both their openness to Korean culture and their purchase intentions. Despite this, research into the psychological mechanism behind it is lacking. The aim of this study is to discover a) the relationship between Hallyu culture and the psychological factors associated with interpersonal relationships mediated through digital platforms; and b) the psychological factors that contribute to one’s Korean Wave related purchase intention. The survey was conducted using an online questionnaire. Using a purposive sampling method, the core population of the survey consisted of Hallyu fans in Hungary, who were reached through various, Korean culture-specialised social media groups. Data from 495 eligible respondents was analysed using the PLS-SEM method with SMART PLS3 software. It can be concluded that fear of missing out (FOMO) and self-pressure to be member of fandom inspire presence in the online space, which can increase purchase intention towards K-goods, Results shows that the examined psychological elements have the greatest impact on two age groups (20-23 and 30-43 years old); however, due to its higher level of income and already established living circumstances the second group can respond to marketing activities to a greater extent. It has also been determined that the level of fandom involvement has a positive effect on purchase intention, something which can be further enhanced by FOMO and peer pressure. Based on the correlations identified, more effective marketing activities can be planned among fans through social media and influencers in fan groups.
摘要 韩流是一种全球文化现象，也被称为 "韩流"，它影响着韩流粉丝对韩国文化的开放程度和购买意向。尽管如此，对其背后的心理机制却缺乏研究。本研究旨在发现 a) 韩流文化与通过数字平台调解的人际关系相关心理因素之间的关系；以及 b) 促成韩流相关购买意向的心理因素。调查使用在线问卷进行。采用目的性抽样方法，调查的核心人群由匈牙利的韩流粉丝组成，他们通过各种韩国文化专业社交媒体群组接触到。使用 SMART PLS3 软件的 PLS-SEM 方法对 495 名合格受访者的数据进行了分析。结果表明，所研究的心理因素对两个年龄组（20-23 岁和 30-43 岁）的影响最大；然而，由于收入水平较高且生活环境已经成熟，第二个年龄组对营销活动的反应程度更高。研究还发现，粉丝的参与程度对购买意向有积极影响，而 FOMO 和同伴压力会进一步增强购买意向。根据所发现的相关性，可以通过社交媒体和粉丝群体中的影响者在粉丝中策划更有效的营销活动。
{"title":"Hallyu in the Heart of Europe: The rise of the Korean Wave in the digital space","authors":"Dávid Máté Hargitai, Annamária Sasné Grósz, Zsófia Sas","doi":"10.2478/mmcks-2023-0029","DOIUrl":"https://doi.org/10.2478/mmcks-2023-0029","url":null,"abstract":"Abstract Hallyu, the global cultural phenomenon that is also known as the Korean Wave affects its fans in terms of both their openness to Korean culture and their purchase intentions. Despite this, research into the psychological mechanism behind it is lacking. The aim of this study is to discover a) the relationship between Hallyu culture and the psychological factors associated with interpersonal relationships mediated through digital platforms; and b) the psychological factors that contribute to one’s Korean Wave related purchase intention. The survey was conducted using an online questionnaire. Using a purposive sampling method, the core population of the survey consisted of Hallyu fans in Hungary, who were reached through various, Korean culture-specialised social media groups. Data from 495 eligible respondents was analysed using the PLS-SEM method with SMART PLS3 software. It can be concluded that fear of missing out (FOMO) and self-pressure to be member of fandom inspire presence in the online space, which can increase purchase intention towards K-goods, Results shows that the examined psychological elements have the greatest impact on two age groups (20-23 and 30-43 years old); however, due to its higher level of income and already established living circumstances the second group can respond to marketing activities to a greater extent. It has also been determined that the level of fandom involvement has a positive effect on purchase intention, something which can be further enhanced by FOMO and peer pressure. Based on the correlations identified, more effective marketing activities can be planned among fans through social media and influencers in fan groups.","PeriodicalId":505081,"journal":{"name":"Management & Marketing","volume":"44 2","pages":"537 - 555"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139189183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Victor Manuel García-Valenzuela, C. Jacobo-Hernández, José Guadalupe Flores-López
Abstract The organizational environment often experiences turbulence, resulting in increased complexity in maintaining a foothold in the market. Consequently, dynamic capabilities play a crucial role in fostering organizational resilience. Given the substantial impact that organizations faced during the COVID-19 pandemic, this study aims to assess the influence of dynamic capabilities on the organizational resilience of small and medium-sized enterprises (SMEs), with the objective of identifying the factors that contribute to organizational survival. Using Covariance-Based Structural Equation Modeling (CB-SEM), this research examined 216 SMEs operating within the commercial sector of Mexico. The findings revealed a positive and significant impact of most dynamic capabilities, detection, absorption, coordination, and innovation on organizational resilience. Notably, the integration capability exhibited the weakest influence on the dependent variable. In contrast, the innovation capability emerged as the most influential factor for SMEs in bolstering organizational resilience.
{"title":"Dynamic Capabilities and Their Effect on Organizational Resilience in Small and Medium-Sized Commercial Enterprises","authors":"Victor Manuel García-Valenzuela, C. Jacobo-Hernández, José Guadalupe Flores-López","doi":"10.2478/mmcks-2023-0027","DOIUrl":"https://doi.org/10.2478/mmcks-2023-0027","url":null,"abstract":"Abstract The organizational environment often experiences turbulence, resulting in increased complexity in maintaining a foothold in the market. Consequently, dynamic capabilities play a crucial role in fostering organizational resilience. Given the substantial impact that organizations faced during the COVID-19 pandemic, this study aims to assess the influence of dynamic capabilities on the organizational resilience of small and medium-sized enterprises (SMEs), with the objective of identifying the factors that contribute to organizational survival. Using Covariance-Based Structural Equation Modeling (CB-SEM), this research examined 216 SMEs operating within the commercial sector of Mexico. The findings revealed a positive and significant impact of most dynamic capabilities, detection, absorption, coordination, and innovation on organizational resilience. Notably, the integration capability exhibited the weakest influence on the dependent variable. In contrast, the innovation capability emerged as the most influential factor for SMEs in bolstering organizational resilience.","PeriodicalId":505081,"journal":{"name":"Management & Marketing","volume":"107 5","pages":"496 - 514"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139190847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This research aims to identify effective strategies for reducing carbon emissions in online shopping by examining the perspectives of Thai consumers and utilizing sociodemographic data to anticipate their choices for carbon mitigation. The study encompasses eco-logistics, last-mile innovations, and responsible consumer behavior. Data collected from a questionnaire gathered responses from 800 participants across diverse regions, resulting in a 96.50% response rate. Using a multinomial logit model in Stata 15, the analysis reveals factors influencing consumer decisions. Eco-logistics is the preferred choice for 35.74% of individuals aiming to reduce carbon emissions from online shopping. Regular purchases of clothing and shoes correlate with a 46% higher likelihood of selecting eco-logistics, while responsible purchasing shows a 33.03% adoption rate. Last-mile innovations, chosen by 31.23%, appeal to higher-income individuals, while women, older age groups (46+), and those with higher education lean toward eco-logistics. Higher education enhances responsible purchasing, influenced by critical thinking, income, and professional networks. Additionally, suburban consumers prefer eco-logistics due to longer distances, while urban residents opt for last-mile innovations. Addressing these challenges facilitates environmentally conscious practices in the e-commerce supply chain, providing insights for policymakers and businesses to formulate sustainable and equitable strategies.
{"title":"Pioneering Eco-Cart: Carbon Reduction Solutions for Thai Online Shoppers","authors":"Veenarat Ut-tha","doi":"10.2478/mmcks-2023-0028","DOIUrl":"https://doi.org/10.2478/mmcks-2023-0028","url":null,"abstract":"Abstract This research aims to identify effective strategies for reducing carbon emissions in online shopping by examining the perspectives of Thai consumers and utilizing sociodemographic data to anticipate their choices for carbon mitigation. The study encompasses eco-logistics, last-mile innovations, and responsible consumer behavior. Data collected from a questionnaire gathered responses from 800 participants across diverse regions, resulting in a 96.50% response rate. Using a multinomial logit model in Stata 15, the analysis reveals factors influencing consumer decisions. Eco-logistics is the preferred choice for 35.74% of individuals aiming to reduce carbon emissions from online shopping. Regular purchases of clothing and shoes correlate with a 46% higher likelihood of selecting eco-logistics, while responsible purchasing shows a 33.03% adoption rate. Last-mile innovations, chosen by 31.23%, appeal to higher-income individuals, while women, older age groups (46+), and those with higher education lean toward eco-logistics. Higher education enhances responsible purchasing, influenced by critical thinking, income, and professional networks. Additionally, suburban consumers prefer eco-logistics due to longer distances, while urban residents opt for last-mile innovations. Addressing these challenges facilitates environmentally conscious practices in the e-commerce supply chain, providing insights for policymakers and businesses to formulate sustainable and equitable strategies.","PeriodicalId":505081,"journal":{"name":"Management & Marketing","volume":"90 2","pages":"515 - 536"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139191778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eszter Szabó-Szentgróti, Szabolcs Rámháp, Petra Kinga Kézai
Abstract The paper aims to examine the evolving retail sector in recent years, specifically how digitalisation and technological innovations have transformed it. All actors have had to adapt to remain competitive. Notably, a new innovation in the retail sector, namely the checkout-free or cashierless store, emerged in 2018. Systematic literature is relied upon to achieve the study's objectives. The significance of this study lies in the use of multiple IT tools such as AI, cameras, sensors, and self-organising shelves to replace human intervention in the retail sector. Globally, several startup companies have developed this new unmanned solution, and Amazon Go stands out as one of the most well-known among them. The primary objective of this pioneering concept is to enhance efficiency by saving time and reducing queues. The aim is to enable customers to enter and exit the store with minimal human contact as quickly as possible. This paper presents the recent trend of the cashierless concept, its evolution, and proliferation. A systematic literature review and data analysis from the Crunchbase Database were conducted. The findings demonstrate that this recent concept is altering both consumers’ purchasing behaviours and companies’ business models. This paper provides novel perspectives and insights into the wider literature on cashierless concepts and smart retail in the context of digital business.
摘要 本文旨在研究近年来不断演变的零售业，特别是数字化和技术创新如何改变了零售业。所有参与者都必须进行调整，以保持竞争力。值得注意的是，2018 年零售业出现了一种新的创新，即免结账或无收银台商店。本研究依靠系统的文献资料来实现研究目标。本研究的意义在于利用人工智能、摄像头、传感器和自组织货架等多种信息技术工具来取代零售业中的人工干预。全球已有多家初创公司开发了这种新型无人解决方案，亚马逊 Go 就是其中最知名的一家。这一开创性概念的主要目的是通过节省时间和减少排队来提高效率。其目的是让顾客在尽可能少与人接触的情况下快速进出商店。本文介绍了无收银台概念的最新趋势、演变和普及情况。本文进行了系统的文献综述和来自 Crunchbase 数据库的数据分析。研究结果表明，这一最新概念正在改变消费者的购买行为和公司的商业模式。本文为有关数字商业背景下的无收银台概念和智能零售的更广泛文献提供了新的视角和见解。
{"title":"Systematic Review of Cashierless Stores (Just Walk Out Stores) Revolutionizing The Retail","authors":"Eszter Szabó-Szentgróti, Szabolcs Rámháp, Petra Kinga Kézai","doi":"10.2478/mmcks-2023-0023","DOIUrl":"https://doi.org/10.2478/mmcks-2023-0023","url":null,"abstract":"Abstract The paper aims to examine the evolving retail sector in recent years, specifically how digitalisation and technological innovations have transformed it. All actors have had to adapt to remain competitive. Notably, a new innovation in the retail sector, namely the checkout-free or cashierless store, emerged in 2018. Systematic literature is relied upon to achieve the study's objectives. The significance of this study lies in the use of multiple IT tools such as AI, cameras, sensors, and self-organising shelves to replace human intervention in the retail sector. Globally, several startup companies have developed this new unmanned solution, and Amazon Go stands out as one of the most well-known among them. The primary objective of this pioneering concept is to enhance efficiency by saving time and reducing queues. The aim is to enable customers to enter and exit the store with minimal human contact as quickly as possible. This paper presents the recent trend of the cashierless concept, its evolution, and proliferation. A systematic literature review and data analysis from the Crunchbase Database were conducted. The findings demonstrate that this recent concept is altering both consumers’ purchasing behaviours and companies’ business models. This paper provides novel perspectives and insights into the wider literature on cashierless concepts and smart retail in the context of digital business.","PeriodicalId":505081,"journal":{"name":"Management & Marketing","volume":"77 3-4","pages":"427 - 448"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139190794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Fostering student engagement to acquire knowledge and achieve academic performance requires understanding how students engage in learning and its influence on academic achievement. This provides valuable insights that help improve learning experiences and outcomes. The paper relies on a mixed methods approach by expanding the traditional dimensions of student engagement and by employing a machine learning framework to identify which specific dimension of student engagement exhibits the main impact on student academic achievement. A questionnaire-based survey is conducted for the period 2020-2021 among a cohort of Romanian students. The outcomes of this preliminary exploratory analysis are further embedded into a machine learning framework by performing a LASSO regression. The findings reveal that the most relevant dimensions of student engagement, during remote education, that contribute the most to outcomes were represented by the behavioural, social, cognitive, and emotional engagement dimensions. Furthermore, the switch to online education appeared to have inverted the positive relationship between social and cognitive engagement and academic achievement. Despite the inherent challenges, the student’s interest in class participation and homework completion was stimulated, and they managed to adapt without difficulty to study independently.
{"title":"Student engagement and academic performance in pandemic-driven online teaching: An exploratory and machine learning approach","authors":"Emilia Mioara Campeanu, I. Boitan, D. Anghel","doi":"10.2478/mmcks-2023-0017","DOIUrl":"https://doi.org/10.2478/mmcks-2023-0017","url":null,"abstract":"Abstract Fostering student engagement to acquire knowledge and achieve academic performance requires understanding how students engage in learning and its influence on academic achievement. This provides valuable insights that help improve learning experiences and outcomes. The paper relies on a mixed methods approach by expanding the traditional dimensions of student engagement and by employing a machine learning framework to identify which specific dimension of student engagement exhibits the main impact on student academic achievement. A questionnaire-based survey is conducted for the period 2020-2021 among a cohort of Romanian students. The outcomes of this preliminary exploratory analysis are further embedded into a machine learning framework by performing a LASSO regression. The findings reveal that the most relevant dimensions of student engagement, during remote education, that contribute the most to outcomes were represented by the behavioural, social, cognitive, and emotional engagement dimensions. Furthermore, the switch to online education appeared to have inverted the positive relationship between social and cognitive engagement and academic achievement. Despite the inherent challenges, the student’s interest in class participation and homework completion was stimulated, and they managed to adapt without difficulty to study independently.","PeriodicalId":505081,"journal":{"name":"Management & Marketing","volume":"42 1","pages":"315 - 339"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139190819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alin-Cristian Maricut, G. Grădinaru, Erika Marin, Valentina Vasile
Abstract International authorities such as the European Commission and the United Nations pay special attention to sustainable urban development, for this purpose, strategies such as the European Green Deal or the Sustainable Development Strategy 2030 agenda, SDG 11 Sustainable cities and communities are developed. Urban development represents a fundamental direction in the transition process towards the green economy, a sustainable economic model. The paper aims to identify the degree of efficiency of economic development in the context of sustainable development for 41 cities in Romania, Germany, Japan, United States of America and Australia. To achieve this objective, the Data Envelopment Analysis (DEA) method is used, with the aim of identifying the gaps regarding the sustainability of the analyzed cities. Data Envelopment Analysis allows the evaluation of the efficiency of urban settlements in the sample based on representative variables, selected as input. So, the research is ready to give answer to question like “What are the efficient cities in terms of sustainability?” and “What are the relationships between the cities included in the sample?”. The main results showed that there are cities that have a model of sustainable economic development, but certain cities present significant gaps from the point of view of efficient sustainable economic development. In addition, port cities seem to develop an association relationship, with inefficient port cities being associated with efficient port cities.
{"title":"Efficiency of urban development: gaps in continental profile","authors":"Alin-Cristian Maricut, G. Grădinaru, Erika Marin, Valentina Vasile","doi":"10.2478/mmcks-2023-0021","DOIUrl":"https://doi.org/10.2478/mmcks-2023-0021","url":null,"abstract":"Abstract International authorities such as the European Commission and the United Nations pay special attention to sustainable urban development, for this purpose, strategies such as the European Green Deal or the Sustainable Development Strategy 2030 agenda, SDG 11 Sustainable cities and communities are developed. Urban development represents a fundamental direction in the transition process towards the green economy, a sustainable economic model. The paper aims to identify the degree of efficiency of economic development in the context of sustainable development for 41 cities in Romania, Germany, Japan, United States of America and Australia. To achieve this objective, the Data Envelopment Analysis (DEA) method is used, with the aim of identifying the gaps regarding the sustainability of the analyzed cities. Data Envelopment Analysis allows the evaluation of the efficiency of urban settlements in the sample based on representative variables, selected as input. So, the research is ready to give answer to question like “What are the efficient cities in terms of sustainability?” and “What are the relationships between the cities included in the sample?”. The main results showed that there are cities that have a model of sustainable economic development, but certain cities present significant gaps from the point of view of efficient sustainable economic development. In addition, port cities seem to develop an association relationship, with inefficient port cities being associated with efficient port cities.","PeriodicalId":505081,"journal":{"name":"Management & Marketing","volume":"20 8","pages":"398 - 410"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139190656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. A. Malik, Muhammad Ali Raza, Noor Ul Hadi, Mahwish J. Khan, Farhina Hameed
Abstract Literature on the sequence of relationships between social commerce constructs, attitudes, and behaviors is disputed. According to earlier scholars, behavior is followed by attitude, conversely, recent evidence suggests a slight relationship. To explore this phenomenon in digital marketing, the aim of the current study is twofold: to examine a parallel mediation of cognitive and affective attitudes between social commerce constructs and purchase intention followed by sequential meditation of cognitive and affective attitudes in the relationship between social commerce constructs and purchase intention. Data for the study was collected using Google Forms from individuals who have used social commerce sites for making purchases over the last six months. The hypothesized model was analyzed using PROCESS macro. The finding of the study revealed that the composite influence of Social Commerce Constructs (SCCs) on online Purchase decisions is significant. Interestingly, our empirical findings support the view of recent scholars that behavior in the social commerce context is not followed by attitude but the cumulative relationship is significant and small. In parallel mediation, the mediation effect of affective attitude between SCCs and purchase intention is considerable. This finding indicates that to grab the attention of current and prospective customers in the era of digital marketing, marketers must focus on emotional content in online reviews.
摘要 关于社会商业建构、态度和行为之间关系顺序的文献存在争议。早期的学者认为，先有行为后有态度，反之，最近的证据表明两者之间的关系并不紧密。为了探讨数字营销中的这一现象，本研究的目的有两个：研究认知态度和情感态度在社会化商务建构和购买意向之间的并行中介作用，以及认知态度和情感态度在社会化商务建构和购买意向之间的顺序中介作用。本研究使用谷歌表单收集了过去六个月中使用社交商务网站购物的个人数据。使用 PROCESS 宏分析了假设模型。研究结果表明，社交商务结构（Social Commerce Constructs, SCCs）对在线购买决策的综合影响是显著的。有趣的是，我们的实证研究结果支持了近期学者的观点，即社交商务背景下的行为并非由态度决定，但两者的累积关系显著且较小。在平行中介中，情感态度在 SCC 与购买意向之间的中介效应相当大。这一发现表明，在数字营销时代，营销人员要想抓住现有客户和潜在客户的注意力，就必须关注在线评论中的情感内容。
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