- Poland
Anna Baj-Rogowska
Gdansk University of Technology, Management and Economics, Department Member
Purpose-This study aims to explore which of four chosen factors (i.e. privacy concerns, FoMO, self-disclosure and time cost) induce a feeling of strain among Facebook users in terms of social media fatigue (SMF), and if this occurs,... more
Purpose-This study aims to explore which of four chosen factors (i.e. privacy concerns, FoMO, self-disclosure and time cost) induce a feeling of strain among Facebook users in terms of social media fatigue (SMF), and if this occurs, whether it further influences such outcomes as discontinuance of usage (DoU) and interaction engagement decrement (IED).
Design/methodology/approach-Through an online structured questionnaire, empirical data were gathered to verify the research model, based on the stressor-strain-outcome (SSO) framework. The SEM technique was employed for assessing the hypothesized relationships. Findings-The findings show that privacy concerns and time cost are strong antecedents of SMF and contribute significantly to its occurrence; while FoMO and self-disclosure do not exhibit any significant influence. Moreover, SMF positively and significantly affects DoU and IED.
Practical implications-This study enhances the existing body of knowledge on SMF and it can help: (1) individuals to be aware of risks and adjust their activities in balance with their well-being, and (2) social media (SM) managers to develop unique strategies to address the specific needs of SM users.
Originality/value-This research contributes to the limited literature on SMF by (1) introducing the concept of IEDas a consequence of SMF, and (2) creating measurement scales for IED.
Design/methodology/approach-Through an online structured questionnaire, empirical data were gathered to verify the research model, based on the stressor-strain-outcome (SSO) framework. The SEM technique was employed for assessing the hypothesized relationships. Findings-The findings show that privacy concerns and time cost are strong antecedents of SMF and contribute significantly to its occurrence; while FoMO and self-disclosure do not exhibit any significant influence. Moreover, SMF positively and significantly affects DoU and IED.
Practical implications-This study enhances the existing body of knowledge on SMF and it can help: (1) individuals to be aware of risks and adjust their activities in balance with their well-being, and (2) social media (SM) managers to develop unique strategies to address the specific needs of SM users.
Originality/value-This research contributes to the limited literature on SMF by (1) introducing the concept of IEDas a consequence of SMF, and (2) creating measurement scales for IED.
Research Interests:
This study aims to evaluate the applicability of a text mining approach for extracting UUX-related issues from a dataset of user comments and not to evaluate the Instagram (IG) app. This study analyses textual data mined from reviews in... more
This study aims to evaluate the applicability of a text mining approach for extracting UUX-related issues from a dataset of user comments and not to evaluate the Instagram (IG) app. This study analyses textual data mined from reviews in English written by IG mobile application users. The article's authors used text mining (based on the LDA algorithm) to identify the main UUX-related topics. Next, they mapped the identified topics with known theoretical constructs to place them in their nomological network relevant to the usability (the 5Es framework by Quesenbery) and UX (the Honeycomb model by Morville). Finally, to expand the study with an emotional diagnosis, sentiment analysis was performed on two levels: (i) for each recognised topic, and (ii) for the full dataset to uncover general insights into users' emotions within all reviews. The case study of the IG app confirms the usefulness of user feedback data for software development and points out that the review data have the potential for the early detection of frustration and negative feelings introduced during the use of the application. Conducting conventional UUX evaluations with users is problematic since they are remotely located, and the user-generated content of a social app undergoes continuous and frequent changes. Thus, the consecutive stages of the proposed methodology, based on text mining algorithms, constitute a proposed framework for examining the user-perceived quality projection of applications from user feedback, and they are the main contribution of this article. The used approach can be valuable for helping developers, designers and researchers to reveal user problems and fulfil user satisfaction regarding UUX aspects for specific software features.
Research Interests:
This chapter is intended to provide basic ideas and concepts related to technology, technological progress and society. It explains how and why technology and society are interrelated, forming a dynamic, complex and interdependent... more
This chapter is intended to provide basic ideas and concepts related to technology, technological progress and society. It explains how and why technology and society are interrelated, forming a dynamic, complex and interdependent evolutionary system. It introduces the terms Digital (ICT) Revolution and information and communication technologies (ICTs), showing elementary features of new technologies. The chapter explains why ICTs are labelled as general purpose technologies. Finally, it briefly discusses the potential channels through which information and communication technologies may affect society, emphasizing some potential benefits but also threats and challenges that society meets along with fast worldwide adoption of technologies.
In response to the coronavirus pandemic, the European Union (EU) governments develop policies to regulate exclusive health protection actions that consider societal needs with the emphasis on elders. Given that the EU vaccination strategy... more
In response to the coronavirus pandemic, the European Union (EU) governments develop policies to regulate exclusive health protection actions that consider societal needs with the emphasis on elders. Given that the EU vaccination strategy uses a centralized ICT-based approach, there is little guidance on how seniors are included in national immunization programs (NIP). In this paper, we addressed a knowledge gap of the side effects of egovernance of NIP for the elderly. To fill this gap, we identified 40 side effects by analyzing online textual opinions (tweets, comments, articles) that express public perception regarding the results of the Polish NIP implementation to seniors' digital inclusion, categorized them into 8 categories and assign them to four e-governance functions. The main contribution of this paper is a better understanding of the digital divide and to provide guidelines for government policy improvement.
Research Interests:
Research Interests:
Opinion polls on vaccine uptake clearly show that Covid-19 vaccine hesitancy is increasing worldwide. Thus, reaching herd immunity not only depends on the efficacy of the vaccine itself, but also on overcoming this hesitancy of uptake in... more
Opinion polls on vaccine uptake clearly show that Covid-19 vaccine hesitancy is increasing worldwide. Thus, reaching herd immunity not only depends on the efficacy of the vaccine itself, but also on overcoming this hesitancy of uptake in the population. In this study, we revealed the determinants regarding vaccination directly from people’s opinions on Twitter, based on the framework of the 6As taxonomy. Covid-19 vaccine acceptance depends mostly on the characteristics of new vaccines (i.e. their safety, side effects, effectiveness, etc.), and the national vaccination strategy (i.e. immunization schedules, quantities of vaccination points and their localization, etc.), which should focus on increasing citizens’ awareness, among various other factors. The results of this study point to areas for potentially improving mass campaigns of Covid-19 immunization to increase vaccine uptake and its coverage and also provide insight into possible directions of future research.
This study aims to explore whether the intensity of internet searches, according to the Google Trends search volume index (SVI), is a predictor of changes in real estate prices. The motivation of this study is the possibility to extend... more
This study aims to explore whether the intensity of internet searches, according to the Google Trends search volume index (SVI), is a predictor of changes in real estate prices. The motivation of this study is the possibility to extend the understanding of the extra predictive power of Google search engine query volume of future housing price change (shift direction) by (i) the introduction of a research approach that combines the advantages of the complementary use of cross-correlation analysis and machine learning classification algorithms; (ii) applying the multi-class HPI values classifier which allows predicting the housing price increase, decrease or relative stability; (iii) exploiting the SVI that relates to interests in both ‘real estate’ and ‘credit to buy real estate’; (iv) evaluation of the introduced approach in the context of the Polish real estate market. The main theoretical contribution of our work is a confirmation that the freely available information regarding Google user searches can provide an in-depth insight into enriching the generally accepted statistics on supply and demand in the real estate market. From the practical perspective, this research confirms that SVI can be associated as a sole determinant to anticipate the housing price change with time-lag sufficient for making decisions regarding the purchase (sale) of individual property or the real estate market control. Such findings can be also helpful for researchers who intend to use Google Trends data as an extra variable from demand side to improve the prediction accuracy if it is included in the model which is based on the existing housing prices determinants.
The primary purpose of the research is to examine and validate determinants of user intention to use AutoCAD software, utilising the constructs from prior studies in a more integrated model. The paper proposes a revised Technology... more
The primary purpose of the research is to examine and validate determinants of user intention to use AutoCAD software, utilising the constructs from prior studies in a more integrated model. The paper proposes a revised Technology Acceptance Model (TAM) for measuring the adoption of AutoCAD. In the study, a latent construct PPA (perceived physical accessibility) was added to the proposed research model as a new determinant of AutoCAD adoption. An online survey of AutoCAD users was conducted to collect data. This data was empirically used to test the proposed research model. The Structural Equation Modelling (SEM) technique was used to evaluate the causal model, and the confirmatory factor analysis was performed to examine the reliability and validity of the measurement model. The study results show that user behavioural intention to use AutoCAD is significantly affected by three determinants: perceived usefulness, perceived ease of use and perceived physical accessibility of the software. This finding contributes to an expanded understanding of the factors that promote acceptance of AutoCAD software. Moreover, the main contribution of this study is to verify the impact of the added PPA variable on the behavioural intention to use and the actual use of AutoCAD, and also to create measurement scales for this new latent variable in TAM.
Research Interests:
Social media is a global platform for sharing interesting ideas or news, comments and reviews. They provide a rich source of data for opinions mining in order to acquire previously unknown and useful business knowledge, which will enable... more
Social media is a global platform for sharing interesting ideas or news, comments and reviews. They provide a rich source of data for opinions mining in order to acquire previously unknown and useful business knowledge, which will enable not only agile management for effective customer service, but also should be reflected in the financial results of the company. The main goal of this article is to investigate whether the opinions about the company crawled from Facebook, subjected to a sentiment analysis are correlated with the enterprise's financial results. In the empirical part, Adidas company was selected for the study, and Facebook posts of its users' were collected in the period from Existing correlations between the sentiment of users' opinions about Adidas and the financial indicators of this entity clearly show that social media play the role of tools that, if properly used through social listening, will bring financial benefits to the company.
Research Interests:
This article analyses the sentiment of opinions, i. e. its classification as phrases with a neutral, positive and negative emotional tone. Data used as a basis for the analysis were opinions expressed by Facebook users about Uber and... more
This article analyses the sentiment of opinions, i. e. its classification as phrases with a neutral, positive and negative emotional tone. Data used as a basis for the analysis were opinions expressed by Facebook users about Uber and collected in the period between July 2016 and July 2017. The primary objective of the study was to obtain information about the perceptions of Uber over thirteen consecutive months. The study confirms that this analysis type is of value to a contemporary business.
Research Interests:
The survey conducted for this study reveals that more than 84% of respondents have never encountered the term " agile commerce " and do not understand its meaning. At the same time, they are active participants of this strategy. Using... more
The survey conducted for this study reveals that more than 84% of respondents have never encountered the term " agile commerce " and do not understand its meaning. At the same time, they are active participants of this strategy. Using digital channels as customers more often than ever before, they have already been included in the agile philosophy. Based on the above, the purpose of the study is to analyse major text sets containing the " agile commerce " term, using the text data mining methods and tools. Data for analyses were sourced through creating an " agile commerce " query on websites with English as the content language. The texts retrieved in this way were used for building a corpus of documents. As a result of the corpus text exploration, words appearing most frequently in association with the agile commerce concept were separated and their most typical contexts were identified. The mining of unstructured data – the text mining process – revealed the essential meaning of the term being studied, while exploring knowledge from large information resources.
Research Interests:
Siting logistics facilities strategically in the most costeffective geographic location is one of the key decisions a contemporary company will make. The aim of the paper is to present a solution to this problem using the Solver... more
Siting logistics facilities strategically in the most costeffective geographic location is one of the key decisions a contemporary company will make.
The aim of the paper is to present a solution to this problem using the Solver add-on. In the case study discussed in the paper, the company’s central warehouse location was selected based on the classic location
theory, which addresses the need to minimize the cost of transport. The mathematical model of the exercise is based on the Euclidean coordinates metrics.
The method used in the study is summarised in the context of its strengths and weaknesses.
The aim of the paper is to present a solution to this problem using the Solver add-on. In the case study discussed in the paper, the company’s central warehouse location was selected based on the classic location
theory, which addresses the need to minimize the cost of transport. The mathematical model of the exercise is based on the Euclidean coordinates metrics.
The method used in the study is summarised in the context of its strengths and weaknesses.
Research Interests:
The main objective of this paper is to solve the multicriteria decision problem consisting in optimal selection of the best software for supporting logistics operations in an enterprise. Analytic Hierarchy Process (AHP) based procedure... more
The main objective of this paper is to solve the multicriteria
decision problem consisting in optimal selection
of the best software for supporting logistics operations in
an enterprise. Analytic Hierarchy Process (AHP) based
procedure has been used in this paper which selects
a decision alternative for the problem considered. As
a result, a solution that satisfies the decision-maker has
been determined.
The paper consists of three parts. The first one includes
an overview of IT systems supporting the logistics management
in a company. Then a theoretical background of
the Analytic Hierarchy Process is presented as the basis
for deliberations contained in the third part, which offers
a way to solve the problem of IT system selection that
can be used by any logistics company.
decision problem consisting in optimal selection
of the best software for supporting logistics operations in
an enterprise. Analytic Hierarchy Process (AHP) based
procedure has been used in this paper which selects
a decision alternative for the problem considered. As
a result, a solution that satisfies the decision-maker has
been determined.
The paper consists of three parts. The first one includes
an overview of IT systems supporting the logistics management
in a company. Then a theoretical background of
the Analytic Hierarchy Process is presented as the basis
for deliberations contained in the third part, which offers
a way to solve the problem of IT system selection that
can be used by any logistics company.
Research Interests:
W artykule dokonano charakterystyki dwóch obecnie najczęściej wykorzystywanych technik automatycznej identyfikacji (AI), jakimi są kody kreskowe i technologia RFID wykorzystująca fale radiowe. Omówiono wady i zalety obu technologii i... more
W artykule dokonano charakterystyki dwóch obecnie najczęściej wykorzystywanych technik automatycznej identyfikacji (AI), jakimi są kody kreskowe i technologia RFID wykorzystująca fale radiowe. Omówiono wady i zalety obu technologii i zakończono rozważania konkluzją, iż każda z nich ma swoje mocne strony, dlatego można przypuszczać, że nadal będą istnieć obok siebie.
AI nie może działać bez systemu informacyjnego, integrującego wszystkie obszary logistyki i warunkującego skuteczność koordynacji procesów logistycznych przedsiębiorstwa, bądź grupy kooperujących podmiotów w łańcuchu dostaw. Implementacja technologii automatycznej identyfikacji w systemie informacyjnym wzdłuż łańcucha dostaw zapewnia jego uczestnikom osiągnięcie szerokiego spektrum korzyści. Ich rozpoznanie wraz z przedstawieniem potencjału kodów kreskowych i technologii RFID były celem niniejszego artykułu.
AI nie może działać bez systemu informacyjnego, integrującego wszystkie obszary logistyki i warunkującego skuteczność koordynacji procesów logistycznych przedsiębiorstwa, bądź grupy kooperujących podmiotów w łańcuchu dostaw. Implementacja technologii automatycznej identyfikacji w systemie informacyjnym wzdłuż łańcucha dostaw zapewnia jego uczestnikom osiągnięcie szerokiego spektrum korzyści. Ich rozpoznanie wraz z przedstawieniem potencjału kodów kreskowych i technologii RFID były celem niniejszego artykułu.
Research Interests:
Celem opracowania jest diagnoza wykorzystania wybranych technologii informacyjnych w przedsiębiorstwach sektora TSL (transportu – spedycji – logistyki) w Polsce. Realizacja celu wymagała na wstępie przedstawienia charakterystyki krajowego... more
Celem opracowania jest diagnoza wykorzystania wybranych technologii informacyjnych w przedsiębiorstwach sektora TSL (transportu – spedycji – logistyki) w Polsce. Realizacja celu wymagała na wstępie przedstawienia charakterystyki krajowego rynku usług TSL i następnie omówienia istoty oraz roli technologii informacyjnych we współczesnych organizacjach. W tak zakreślonej przestrzeni szczegółowo przeanalizowano dostępne dane statystyczne dotyczące zastosowania w tym sektorze technologii informacyjnych na tle całej gospodarki.
Research Interests:
Celem niniejszego opracowania jest zaprezentowanie sposobu szybkiego rozwiązywania logistycznych problemów optymalizacyjnych przez zastosowanie łatwo dostępnego i taniego narzędzia, jakim jest Solver wchodzący w skład pakietu MS Office... more
Celem niniejszego opracowania jest zaprezentowanie sposobu szybkiego rozwiązywania logistycznych problemów optymalizacyjnych przez zastosowanie łatwo dostępnego i taniego narzędzia, jakim jest Solver wchodzący w skład pakietu MS Office (dodatek arkusza kalkulacyjnego Excel). Zadanie to wykonano na przykładzie małej firmy kurierskiej, która prowadzi swoją działalność bez żadnego wsparcia informatycznego. W pracy przedstawiono charakterystykę tej firmy i specyfikę realizowanych procesów transportowych, a następnie z wykorzystaniem Solvera opracowano rozwiązanie problemu wytyczenia szlaku przejazdu kuriera w taki sposób, aby osiągnąć jak najkrótszą całkowitą długość trasy, a tym samym zminimalizować koszty transportu.
Research Interests:
Na rynku można odnaleźć wiele podręczników pomocnych w rozwijaniu kompetencji związanych z posługiwaniem się arkuszem kalkulacyjnym w praktyce menedżerskiej. Niewiele jest natomiast pozycji literaturowych pokazujących możliwości... more
Na rynku można odnaleźć wiele podręczników pomocnych w rozwijaniu kompetencji związanych z posługiwaniem się arkuszem kalkulacyjnym w praktyce menedżerskiej. Niewiele jest natomiast pozycji literaturowych pokazujących możliwości wykorzystania MS Solver do wspomagania decyzji. Niniejsza książka ma za zadanie wypełnić tę lukę. Jej celem jest przedstawienie możliwości dodatku Solver w procesie podejmowania decyzji optymalnych. Intencją Autorki było stworzenie podręcznika dla osób zainteresowanych samodzielną nauką pracy z MS Excel Solver.
Niniejsze opracowanie składa się z trzech rozdziałów. Rozdział pierwszy zawiera teoretyczne podstawy wprowadzające do zagadnień podejmowania decyzji optymalnych. Przedstawiono w nim podstawowe pojęcia z tego zakresu, omówiono czym jest proces rozwiązywania problemów decyzyjnych ze szczególnym rozróżnieniem pomiędzy rozwiązywaniem problemów decyzyjnych a ich podejmowaniem.
Drugi rozdział został dedykowany przedstawieniu funkcjonalności dodatku Solver wraz z omówieniem opcji ustawień i metod rozwiązań dostępnych w programie oraz raportów wyników, wrażliwości i granic. Na tak przygotowanej podbudowie teoretycznej w dalszej części rozdziału zaprezentowano praktyczne rozwiązanie krok po kroku prostego zadania decyzyjnego. Takie podejście przygotowuje Czytelnika do treści zawartych w rozdziale trzecim. Przedstawiono tutaj różnorodne i znacznie bardziej złożone problemy decyzyjne. Dobór przykładów ma na celu pokazanie potencjału Solvera.
Niniejsze opracowanie składa się z trzech rozdziałów. Rozdział pierwszy zawiera teoretyczne podstawy wprowadzające do zagadnień podejmowania decyzji optymalnych. Przedstawiono w nim podstawowe pojęcia z tego zakresu, omówiono czym jest proces rozwiązywania problemów decyzyjnych ze szczególnym rozróżnieniem pomiędzy rozwiązywaniem problemów decyzyjnych a ich podejmowaniem.
Drugi rozdział został dedykowany przedstawieniu funkcjonalności dodatku Solver wraz z omówieniem opcji ustawień i metod rozwiązań dostępnych w programie oraz raportów wyników, wrażliwości i granic. Na tak przygotowanej podbudowie teoretycznej w dalszej części rozdziału zaprezentowano praktyczne rozwiązanie krok po kroku prostego zadania decyzyjnego. Takie podejście przygotowuje Czytelnika do treści zawartych w rozdziale trzecim. Przedstawiono tutaj różnorodne i znacznie bardziej złożone problemy decyzyjne. Dobór przykładów ma na celu pokazanie potencjału Solvera.
Research Interests:
Vast amounts of new types of data are constantly being created as a result of dynamic digitization in all areas of our lives. One of the most important and valuable categories for business is data from social networks such as Facebook.... more
Vast amounts of new types of data are constantly being created as a result of dynamic digitization in all areas of our lives. One of the most important and valuable categories for business is data from social networks such as Facebook. Feedback resulting from the sharing of thoughts and emotions, expressed in comments on various products and services, is becoming the key factor on which modern business is based. This feedback is called sentiment on social media.
The sentiment analysis method is used for the mining of polarity views, feelings and emotions from text data with the help of Natural Language Processing (NLP). The fundamental task in this technique is to classify the polarity of opinions into classes such as positive, negative and neutral.
This chapter introduces a novel approach to the quantitative measurement of sentiment by means of a created indicator called the Net Sentiment Rate (NSR). The proposed NSR expresses the net sentiment extracted from text data and provides values on a scale from -1 to +1. The Net Sentiment Rate implementation has been verified on large data sets crawled from Facebook in the period from 1 October 2014 to 31 December 2018, for three international companies from the same sector. The created Net Sentiment Rate, together with the classification of its strength, and its verification, constitutes the contribution of this study.
The sentiment analysis method is used for the mining of polarity views, feelings and emotions from text data with the help of Natural Language Processing (NLP). The fundamental task in this technique is to classify the polarity of opinions into classes such as positive, negative and neutral.
This chapter introduces a novel approach to the quantitative measurement of sentiment by means of a created indicator called the Net Sentiment Rate (NSR). The proposed NSR expresses the net sentiment extracted from text data and provides values on a scale from -1 to +1. The Net Sentiment Rate implementation has been verified on large data sets crawled from Facebook in the period from 1 October 2014 to 31 December 2018, for three international companies from the same sector. The created Net Sentiment Rate, together with the classification of its strength, and its verification, constitutes the contribution of this study.