scholarly journals The view, brew and loo: perceptions of botanic gardens?

2019 ◽  
Vol 12 (1) ◽  
pp. 20-38 ◽  
Author(s):  
Nicholas Catahan ◽  
Helen Woodruffe-Burton
Keyword(s):  
Big Data ◽  
Content Analysis ◽  
Public Perception ◽  
Rating Scale ◽  
Scientific Discovery ◽  
Methodological Approach ◽  
Online Reviews ◽  
Botanic Gardens ◽  
Place Management ◽  
Content Type

PurposeThis is an exploratory and qualitative study to consider approaches to capture, analyse and monitor perceptions from big data, to inform and contribute to place management research and practice of botanic gardens (BGs). This paper aims to address the ongoing significant threat to BGs due to funding being cut and the need to inform and develop sustainable revenue streams for their survival.Design/methodology/approachGuiding research questions for this study were: ‘What are the perceived strengths and areas for development for 2 BGs via a Leximancer Automatic Content Analysis (ACA) of TripAdvisor online reviews; and do they match BGs purpose of scientific research, conservation, display and education?’ A content analysis of 582 online reviews from 2007 to 2017 follows qualitative methodology techniques using a combination of manual and automatic text analysis (Leximancer text mining software). These approaches enabled a comparison of online TripAdvisor reviews with Likert-type or rating scale items of 1 to 5 stars.FindingsInsights revealed the use of Leximancer and TripAdvisor (or similar innovations) as tools for potential place management, place marketing communications and monitoring purposes. Predominant perceptions extracted from reviews are not concerned with documented collections of living plants for the purposes of scientific discovery, conservation, display and education. Reviews clearly focus more upon aesthetics, facilities and services, which support previous studies. Overall, reviews highlighted positive sentiments towards the BGs.Research limitations/implicationsLimitations link to limited data across two BGs, synthesis and meaning of complex perceptions, matters of subjectivity and time needed to interpret information. Implications enable insights into BG “place” gleaned from big data in the form of user-generated content and electronic Word-Of-Mouth using Leximancer; viewed as a measure alongside management action plans. Future studies could strengthen debate and action regarding the use of Leximancer, and also public perception of BGs’ core functions, importance and value. The research supports potential to monitor and transform perceptions, values and beliefs. Outcomes could eventually inform policy and generate a much-needed shift in funds and resources for BGs by highlighting their relevance and value to society.Originality/valueAn empirical and methodological contribution via peer reviewed studies of visitor perceptions via online reviews of Britain’s BGs “place” and “space” analysed with Leximancer have never been published. This study critically explores potential visitor and place management needs of BGs. Managers can make better use of big data from social media platforms/digital channels, using a novel type of data analytical software like Leximancer for strategic planning; with more informed approaches to place management, innovation and development. A key contribution of this study is this ACA methodological approach for place management.

Sharing tourism experiences in social media

2017 ◽  
Vol 29 (1) ◽  
pp. 179-225 ◽  
Author(s):  
Marios D. Sotiriadis
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Academic Research ◽  
Online Reviews ◽  
Content Type ◽  
Main Research ◽  
Research Themes ◽  
Consumer Perspective ◽  
Use Of Social Media ◽  
The Impact

Purpose The purpose of this paper is twofold: to perform a synthesis of academic research published between 2009 and 2016 regarding the changes in tourism consumer behavior brought about by the use of social media (SM); and to suggest a set of strategies for tourism businesses to seize opportunities and deal with resulting challenges. Design/methodology/approach A volume of 146 peer-reviewed journal articles were retrieved from two major databases. Content analysis of this academic research has been performed, exploring the effects of online reviews on tourism consumers and providers. Findings The content analysis identified three main research themes that were investigated by scholars and classified into two major categories, namely, consumer perspective and provider perspective: the antecedents (factors motivating and influencing tourists); the influence of online reviews on consumer behaviour; and the impact of these reviews on tourism businesses (providers’ perspective). Research limitations/implications This study is based on a literature review and outcomes reported by previous studies; hence, the suggestions are indicative rather than conclusive. Some publication sources were not included. Practical implications This paper suggests a range of adequate strategies, along with operational actions, formulated for industry practitioners in the fields of management and marketing. Originality/value It provides an update of the state of published academic research into SM and an integrated set of management and marketing strategies for tourism providers in seizing the opportunities and dealing with the challenges raised in a digital context.

Factors influencing touristic consumer behaviour

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vasco Santos ◽  
Paulo Ramos ◽  
Bruno Sousa ◽  
Nuno Almeida ◽  
Marco Valeri
Keyword(s):  
Content Analysis ◽  
Design Methodology ◽  
Critical Reflection ◽  
Consumer Behaviour ◽  
Methodological Approach ◽  
Scientific Development ◽  
Content Type ◽  
Practical Applications ◽  
Tourism Marketing ◽  
Tourist Behaviour

PurposeThis paper aims to present a content analysis of two major constructs among tourism settings, namely involvement and emotions, strictly related to tourist behaviour, due to the fact that there are still some critical gaps in the knowledge about tourists' emotions and involvement.Design/methodology/approachAn in-depth content analysis of involvement and emotions was adopted as the methodological approach. This methodology addressed an amalgam of different definitions, frameworks, mixed theoretical and practical applications and approaches, results, comparisons as well as a blend of a set of scales of involvement and emotions by confrontating of authors.FindingsThe major findings state that emotions and involvement demonstrate greater progress and scientific development to the level of tourism, marketing and consumer behaviour, representing an important issue for the integrated tourism experiences.Originality/valueThis study presents a critical reflection on the importance of emotions and involvement in specific contexts of leisure and tourism.

Narratives of the Big-4 transparency reports: country effects or firm strategy?

2019 ◽  
Vol 34 (8) ◽  
pp. 951-985
Author(s):  
Ana Zorio-Grima ◽  
Pedro Carmona
Keyword(s):  
Content Analysis ◽  
Voluntary Disclosure ◽  
Methodological Approach ◽  
Firm Strategy ◽  
Future Research ◽  
Content Type ◽  
Country Effects ◽  
Big 4 ◽  
Audit Firms ◽  
The Uk

Purpose The purpose of this paper is to examine whether audit firms use transparency reports (TRs) as a tool to standardize their brand image or whether the semantic and content analysis in these reports indicates a higher importance of country effects. Design/methodology/approach The sample includes 28 TRs published in English by the Big-4 audit firms from five EU countries (the UK, Ireland, Luxemburg, Hungary and Malta), as well as in the USA and Australia. Findings Using content analysis, this research finds that there is variation in the language used in TRs both across audit firms and jurisdictions. Most TRs from different countries of the same firm tend to be clustered, suggesting that audit firms use transparency reporting as a strategy to differentiate themselves from their competitors. In fact, EY and KPMG seem to have more standardized internal procedures and standardized information. Regarding country effects, the results indicate that TRs in the UK are longer and show more detailed information. Originality/value Overall, this research is innovative in the sense that it applies a new methodological approach to an emerging topic such as audit transparency reporting. It identifies emerging topics of voluntary disclosure, such as financial data of the firm, gender and ethnic origin of employees, community involvement or sanctions, among other topics of interest which might be explored in detail by future research to understand the construction of the profession.

scholarly journals The study of the effect of online review on purchase behavior

2020 ◽  
Vol 4 (1) ◽  
pp. 73-86 ◽  
Author(s):  
Jinghuan Zhang ◽  
Wenfeng Zheng ◽  
Shan Wang
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Online Reviews ◽  
Big Data Analysis ◽  
Influential Factors ◽  
Purchase Behavior ◽  
Behavioral Experiment ◽  
Content Type ◽  
Online Purchase ◽  
Network Big Data

Purpose The purpose of this paper is to explain the difference and connection between the network big data analysis technology and the psychological empirical research method. Design/methodology/approach This study analyzed the data from laboratory setting first, then the online sales data from Taobao.com to explore how the influential factors, such as online reviews (positive vs negative mainly), risk perception (higher vs lower) and product types (experiencing vs searching), interacted on the online purchase intention or online purchase behavior. Findings Compared with traditional research methods, such as questionnaire and behavioral experiment, network big data analysis has significant advantages in terms of sample size, data objectivity, timeliness and ecological validity. Originality/value Future study may consider the strategy of using complementary methods and combining both data-driven and theory-driven approaches in research design to provide suggestions for the development of e-commence in the era of big data.

Operations strategy of cloud-based firms: achieving firm growth in the Big Data era

2019 ◽  
Vol 40 (6) ◽  
pp. 873-896 ◽  
Author(s):  
Yongyi Shou ◽  
Xinyu Zhao ◽  
Lujie Chen
Keyword(s):  
Big Data ◽  
Content Analysis ◽  
Operations Management ◽  
Firm Growth ◽  
Seemingly Unrelated Regression ◽  
Second Phase ◽  
Operations Strategy ◽  
Two Phase ◽  
Content Type ◽  
Operations Capabilities

Purpose Cloud computing is a major enabling technology for Industry 4.0 and the Big Data era. However, cloud-based firms, who establish their businesses on cloud platforms, have received scant attention in the extant operations management (OM) literature. To narrow this gap, the purpose of this paper is to investigate cloud-based firms from an operations strategy perspective. Design/methodology/approach A two-phase multi-method approach was adopted. In the first phase, content analysis of 27 reports from cloud-based firms was conducted, aided by text mining keyword extraction. Two data-related operations capabilities were identified and hypotheses were posited regarding the relationships between data resources (DR), operations capabilities and firm growth (FG). In the second phase, a sample of 190 cloud-based firms was collected. Seemingly unrelated regression and bootstrapping method were employed to test the proposed hypotheses using the survey data. Findings The content analysis indicates data as a key resource and both data processing capability and data transformational capability as critical operations capabilities of cloud-based firms. FG is regarded as a top priority in the cloud context. The regression results indicate that DR and the two capabilities contribute to the growth of cloud-based firms. Moreover, a follow-up bootstrapping analysis reveals that the mediating effects of the two capabilities vary between different types of FG. Originality/value To the authors’ best knowledge, this is one of the first OM studies on cloud-based firms. This study extends the operations strategy literature by identifying and testing the key operations capabilities and priorities of cloud-based firms. It also provides insightful implications for industrial practitioners.

Social media in aid of post disaster management

2020 ◽  
Vol 14 (2) ◽  
pp. 237-260 ◽  
Author(s):  
Ajree Ducol Malawani ◽  
Achmad Nurmandi ◽  
Eko Priyo Purnomo ◽  
Taufiqur Rahman
Keyword(s):  
Social Media ◽  
Big Data ◽  
Content Analysis ◽  
Disaster Management ◽  
Practical Implication ◽  
Legal Framework ◽  
Topic Modelling ◽  
Content Type ◽  
The Government ◽  
Post Disaster

Purpose This paper aims to examine tweet posts regarding Typhoon Washi to contend the usefulness of social media and big data as an aid of post-disaster management. Through topic modelling and content analysis, this study examines the priorities of the victims expressed in Twitter and how the priorities changed over a year. Design/methodology/approach Social media, particularly Twitter, was where the data gathered. Using big data technology, the gathered data were processed and analysed according to the objectives of the study. Topic modelling was used in clustering words from different topics. Clustered words were then used for content analysis in determining the needs of the victims. Word frequency count was also used in determining what words were repeatedly used during the course period. To validate the gathered data online, government documents were requested and concerned government agencies were also interviewed. Finding Findings of this study argue that housing and relief goods have been the top priorities of the victims. Victims are seeking relief goods, especially when they are in evacuation centres. Also, the lack of legal basis hinders government officials from integrating social media information unto policymaking. Research limitation This study only reports Twitter posts containing keywords either, Sendong, SendongPH, Washi or TyphoonWashi. The keywords were determined based on the words that trended after Typhoon Washi struck. Practical implication For social media and big data to be adoptable and efficacious, supporting and facilitating conditions are necessary. Structural, technical and financial support, as well as legal framework, should be in place. Maintaining and sustaining positive attitude towards it should be taken care of. Originality/value Although many studies have been conducted on the usefulness of social media in times of disaster, many of these focused on the use of social media as medium that can efficiently spread information, and little has been done on how the government can use both social media and big data in collecting and analysing the needs of the victims. This study fills those gaps in social big data literature.

scholarly journals Achieving strategic flexibility in the era of big data

2020 ◽  
Vol 58 (8) ◽  
pp. 1585-1600 ◽  
Author(s):  
Riccardo Rialti ◽  
Giacomo Marzi ◽  
Andrea Caputo ◽  
Kayode Abraham Mayah
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Structural Model ◽  
Methodological Approach ◽  
Strategic Flexibility ◽  
Content Type ◽  
Knowledge Management Capabilities ◽  
Management Capabilities

PurposeThis research unpacks the micro-mechanisms that exist between an organisation's ability to conduct big data analytics (BDA) and its achievement of strategic flexibility. Knowledge management capabilities and organisational ambidexterity have long been considered factors influencing the aforementioned relationship. In order to assess this, the authors build on dynamic capabilities as the main theoretical lens through which to examine.Design/methodology/approachStructural equation modelling (SEM) is the main methodological approach used in this research. A structural model was developed and tested based on 215 survey responses collected from managers of organisations in continental Europe.FindingsThe results indicate that BDA capabilities are a significant antecedent of an organisation's strategic flexibility. This relationship, however, is influenced by knowledge management capabilities and ambidexterity.Practical implicationsManagers wishing to properly exploit the potential of big data should invest in the elaboration of knowledge management processes across their organisation. This strategy can foster strategic flexibility.Originality/valuePrevious research has explored the theoretical links between big data, knowledge management and strategic flexibility. However, little attention has been paid to the quantitative investigation of the phenomenon.

Additive manufacturing technology: mapping social impacts

2019 ◽  
Vol 30 (1) ◽  
pp. 70-97 ◽  
Author(s):  
Florinda Matos ◽  
Celeste Jacinto
Keyword(s):  
Content Analysis ◽  
Additive Manufacturing ◽  
Business Models ◽  
Methodological Approach ◽  
Academic Research ◽  
Social Impacts ◽  
Content Type ◽  
Social Challenges ◽  
Computer Aided ◽  
Recent Developments

Purpose Recent developments in additive manufacturing (AM) technology have emphasized the issue of social impacts. However, such effects are still to be determined. So, the purpose of this paper is to map the social impacts of AM technology. Design/methodology/approach The methodological approach applied in this study combines a literature review with computer-aided content analysis to search for keywords related to social impacts. The content analysis technique was used to identify and count the relevant keywords in academic documents associated with AM social impacts. Findings The study found that AM technology social impacts are still in an exploratory phase. Evidence was found that several social challenges of AM technology will have an influence on the society. The topics associated with fabrication, customization, sustainability, business models and work emerged as the most relevant terms that can act as “pointers” to social impacts. Research limitations/implications The research on this subject is strongly conditioned by the scarcity of empirical experience and, consequently, by the scarcity of data and publications on the topic. Originality/value This study gives an up-to-date contribution to the topic of AM social impacts, which is still little explored in the literature. Moreover, the methodological approach used in this work combines bibliometrics with computer-aided content analysis, which also constitutes a contribution to support future literature reviews in any field. Overall, the results can be used to improve academic research in the topic and promote discussion among the different social actors.

A new method for evaluating tour online review based on grey 2-tuple linguistic

Kybernetes ◽  
2014 ◽  
Vol 43 (3/4) ◽  
pp. 601-613 ◽  
Author(s):  
Chuanmin Mi ◽  
Xiaofei Shan ◽  
Yuan Qiang ◽  
Yosa Stephanie ◽  
Ye Chen
Keyword(s):  
Big Data ◽  
Social Network ◽  
Social Responsibility ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Online Reviews ◽  
New Method ◽  
Online Review ◽  
Future Research ◽  
Content Type

Purpose – Tour social network data that are heterogeneous contain not only the quantitative structured evaluation data, but also the qualitative non-structured data. This is a big data scenario. How to evaluate tour online review and then recommend to potential tourists quickly and accurately are important parts of social responsibility of tour companies. The purpose of this paper is to propose a new method for evaluating tour online review based on grey 2-tuple linguistic. Design/methodology/approach – The phenomenon of “poor information” exists in some big data scenario. According to social responsibility, grey 2-tuple linguistic evaluation model for tour online review is proposed. Findings – Tour social networks contain data that are valuable to each individual on tourism industry's value chain. Grey 2-tuple linguistic evaluation model can be used for evaluating tour online reviews. This is a systems thinking method that takes social responsibility into account. Research limitations/implications – Due to the complex links among reviewers in social network, network mining approaches and models are expected to be added to this research in the near future. Practical implications – Grey 2-tuple linguistic evaluation method can contribute to the future research on evaluating a variety of tour social network comment data in the real world. Originality/value – A new evaluation method for making evaluation and recommendations based on tour social network comment information is proposed.

scholarly journals Do hostels play a role in pleasing Millennial travellers? The Portuguese case

2018 ◽  
Vol 4 (1) ◽  
pp. 57-68 ◽  
Author(s):  
Medéia Veríssimo ◽  
Carlos Costa
Keyword(s):  
Design Methodology ◽  
Hospitality Industry ◽  
Participant Observation ◽  
Methodological Approach ◽  
Travel Behaviour ◽  
Data Interpretation ◽  
Online Reviews ◽  
Value For Money ◽  
Content Type ◽  
The World

Purpose The purpose of this paper is to identify the best hostel practices and trends, and to evaluate and discuss how they are keeping up with the present demand created by the Millennials market. Design/methodology/approach Methodological approach is based on two complementary qualitative methods: ethnographic participant observation and netnography. Portuguese hostels are the target of this study, as they are considered some of the best in the world. First, a fieldwork was conducted in three top-rated hostels in Lisbon, aiming to immerse in hostel’s environment. Then, 300 online reviews were analysed to identify what customers value the most in those services. Data interpretation was done through a content analysis crossing supply-demand perspectives. Findings Results indicate that, while staying in a hostel, the Millennials want to: meet people, engage in activities and events, have local experiences, feel comfortable/at home, get good value for money and enjoy the convenience. In return, hostels play an important role in hospitality industry by pleasing the Millennials, by offering: central location, an interactive atmosphere, functional facilities, well-planned design and decoration, a set of activities and events and personal treatment. Originality/value This paper is one of the few to describe Millennials’ travel behaviour towards hostels’ services.

Sign in / Sign up

Export Citation Format

Share Document