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This paper compares traditional and digital banks in nine categories of complaints and provides insights to improve complaint management performance.

A sample of the major Brazilian banks was defined, with four traditional and four digital banks. The grey relational analysis (GRA) method was applied as an analytical tool to compare the most frequent complaints of traditional and digital banks. The most critical complaints identified were considered to discuss potential improvements in complaint management using quality and service management system concepts.

The GRA method enabled the development of a ranking of nine complaint categories, considering the uncertainty involved in the data and differentiating between traditional and digital banks. The most critical complaint categories, regardless of business model, were “unauthorized charges” and “poor service,” which were ranked first and second in the frequency rankings. Traditional and digital banks differed the most in the complaint category “unfair charge,” ranking third and eighth in the rankings, respectively.

Managers from traditional and digital banks can improve complaint management performance by applying ISO 9001 and ISO 20000 concepts such as incident, problem, change, service level, availability, capacity, information technology service continuity and financial management.

The study's findings can help bank managers improve service levels in the face of technological competition. Improving these organizations is an important factor for developing countries such as Brazil.

This paper reveals the differences between two business models regarding complaint management. It also considers a methodological approach to include the uncertainty related to customers' perception and subjectivity inherent to complaints.

The purpose of this study is to make students understand the logic behind and implications of the “Socio-Technical Imbrication Framework” that can help them understand the importance of aligning workforce motivation and capabilities with the modern technology deployed in the organization. Moreover, students will understand the essentiality and criticality of customer satisfaction for the organization.

The technical services operations team at Cotton Web Limited formerly relied on JS Node, e-coordination system, to address customer complaints. There were many bugs in that system as it did not carry along the complaint tracking protocol, was slow in response, fundamentally structured upon manual complaint record keeping that resulted in piling up un-resolved complaints for a longer period of time. The team under the leadership of Mr. Hasan Ali, a competent expert working as GM Research and Data Analytics, undertook detailed analysis of recurring glitches in this system and replaced it with a novel Web-based automated complaint management system at Cotton Web Limited. This entire diagnosis and intervention process took almost three months till completion. The case is written for use in courses in the curriculum of BBA, BBIS, BSIT and BSCS programs at undergraduate level. It is most suitable for the courses in leadership, change management, business process reengineering, soft engineering, team building and business communication.

The case is suitable for teaching at Undergraduate level to the students of BBIS, BBA, BSCS and BSIT students in the last year of their degree programs. Teaching faculty can use case-based methodology for student learning by putting them into a real-life situation faced by an organization and letting them think critically and identify following points for further discussion and clarity: individual or in groups; problem identification through discussion; the stakeholders involved in the company’s situation through presentation or one-pager presentation; case analysis with reaching best solution to prevailing issue at hand through group discussion; reaching a decision or solution with reasonable logic and justification through group discussions; and create further dilemma on the basis of questions unanswered within this case story.

Teaching notes are available for educators only.

CSS 7: Management Science.

This paper first aims to examine associations between factors involved in business-to-business complaints management and results (satisfaction and loyalty) and analyses three types of distributors based on their cultural profile (domestic, low context and high context). Second, the paper investigates whether the identified associations remain stable over time.

Data from a sample of distributors for a manufacturing company were gathered during two periods of time. A factorial analysis of correspondences and a cluster analysis were carried out to visually represent the associations among clients, complaints and results in the associations among clients, complaints and results. The stability over time of these relationships was also analysed by calculating the correlations between the Euclidean distances on the two maps (one per year) and their mobility ratio.

The authors found significant evidence that clients from different cultures are associated with varying profiles of complaint and different result types and that certain associations remain stable over time.

While many studies have analysed complaint behaviour in business-to-consumer contexts, there is a lack of research from an international business-business relations point of view, leaving questions virtually unexplored. Second, the last phases of supply chain management, specifically complaints management, have been undeveloped, limiting the cultural factor to the general scope of negotiation. In this vein, this paper compares different complaint profiles and results, comparing culturally different customers/distributors. Third, research has mostly referred to a single period, while this paper investigates two different periods of time for the same company (and their distributors) to analyse the relevance of the stability (or not) over time of the associations identified.

This research explores why tourists are dissatisfied in places considered “wonders of the world”. The authors ask if the place does not match visitors' expectations or if other factors spoil the experience.

The authors analysed the lowest-rated reviews of these wonders on TripAdvisor. The authors identified the main causes of complaints and the problems tourists faced. The authors grouped the complaints into categories and used CoDa.

The results indicate that dissatisfaction does not stem from unmet expectations regarding the monument itself, but rather from other factors related to the quality of the tourist service.

The findings of this research can be implemented in those tourist spots that, despite their global popularity, have considerable proportions of unhappy visitors, not due to the attraction itself, but to shortcomings in its administration.

This study provides a deeper insight into the causes of complaints about some of the most renowned monuments, regarded as extraordinary places, where high satisfaction levels would be anticipated. It also contributes theoretically to the literature on customer complaints in tourist places.

This study aims to both identify content-based and interaction-based online consumer complaint types and predict complaint types according to the complaint magnitude rooted in complainants' personality traits, emotion, Twitter usage activity, as well as complaint's sentiment polarity, and interaction rate.

In total, 297,000 complaint tweets were collected from Twitter, featuring over 220,000 consumer profiles and over 24 million user tweets. The obtained data were analyzed via two-step machine learning approach.

This study proposes a set of content and profile features that can be employed for determining complaint types and reveals the relationship between content features, profile features and online complaint type.

This study proposes a novel model for identifying types of online complaints, offering a set of content and profile features that can be used for predicting complaint type, and therefore introduces a flexible approach for enhancing online complaint management.

Operation and maintenance (O&M) processes projects such as identification, assessment, planning and execution, embody a variety of standards such as technical (method of statement), environmental, economic (campus development) and social (health and wellbeing). Because these standards have proven to be challenging to integrate, local governments are increasingly experimenting with social innovation (SI) as a bottom-up form of standard integration. This study aims to apply the concept of SI to the O&M processes of facilities management at polytechnics in Malaysia to identify problems with conventional working practices in this area and to recommend potential solutions.

The paper reviews evidence that conventional working methods generate significant problems related to paper-based forms, improper database management and flawed decision-making processes. Because of the lack knowledge about different ways of how standard integration is achieved, the comparison of three polytechnic institutions which are Rensselaer Polytechnic Institute (RPI) and Southern Polytechnic College of Engineering and Engineering Technology (SPCEET) in USA as well as Seberang Perai Polytechnic, Pulau Pinang (PSP) in Malaysia shares the ambition to realise standard integration of O&M through SI.

The findings reveal that SI leads to four ways of standard integration: computerised maintenance management system, online customer complaint, electronic form and relational database. Application of the concept of SI reveals the need for more sophisticated management solutions in the O&M processes of facilities management.

These standard integration arrangements unfortunately seem to mainly contribute to greater alignment between standard rather than true standard integration. The concept of SI will guide future improvements and developments in maintenance management systems to fulfil requirements in this area.

This paper aims to uncover an understanding of how the quality assurance measures used by the property management teams of Grade-B high-rise office blocks influence the satisfaction and retention of tenants and walk-in users.

This study used a case study design backed up by qualitative and quantitative research approaches on a sample size of 90 respondents, including tenants, landlords, property managers and walk-in building users. The data were collected predominantly through interview guides and transcribed, coded and illustrated by the aid of ATLAS.ti software. Data reporting was through tables, graphs and themed direct quotations and eventual discussion. The in-depth/structured interview sessions took between 40 min and 1 h, and the walk-along interviews ranged between 30 and 40 min. Content analysis through thematic coding, categorisation and analysis were used in handling qualitative data. Direct quotes from participant responses from interview transcripts were inserted in line with the themes. And participants allocated pseudo-names to guard their confidentiality.

The key themes that linked quality assurance measures of access systems and tenant retention included distribution of access systems, the retention trends, quality assurance measures followed and the tenant experiences regarding how complaints are handled.

It is important to understand how tenants and other users of high-rise buildings experience their performance and inclusiveness. In a place like Kampala city, such a phenomenon can be proven through tenants sustaining their tenures/use of the facilities. Yet, to the best of the authors’ knowledge, presently no empirical studies have explored such a connection.

The purpose of this study is to augment the perceived service quality (PSQ) dimensions as well as evaluate the effects of pandemic susceptibility and severity by appending crucial enablers of customer satisfaction (CS) in the restaurant industry (RI).

The top 10 restaurants from Mumbai and Kolkata were selected based on the Conde Nast Traveller Magazine List, 2020. The study used a cross-sectional design to collect responses from 840 respondents across the two major metropolitans of India after the second wave of COVID-19 by employing a structured questionnaire. The proffered hypotheses in this study were validated using factor analysis and structural equation modelling (SEM) techniques.

This research espies pivotal facilitators of CS and customers' perceived value (CPV). The results divulge that food quality (FQ) and tangibility dimensions markedly enhance CS while the FQ and digital technologies (DT) dimensions augment CPV in Indian restaurants. The study asserts that CPV acts as a partial mediator between FQ and DT on the one hand and CS on the other. In addition, perceived pandemic susceptibility (PPSU) and perceived pandemic severity (PPSE) moderate the association between CPV and CS in restaurants.

This study exemplifies the critical enablers of CS and CPV that may invigorate restaurant owners, managers and policymakers to prioritize the identified dimensions to aggrandize CS and CPV quotients.

The study enriches the literature by assimilating DT and CPV dimensions in a comprehensive theoretical framework. The research is unique in attempting to unfurl the moderating effects of PPSU and PPSE in the RI.

This study aims to improve the use of digitalization in facilities management (FM) for shopping complex facilities in the post-COVID-19 era. The resumption of economic activities, especially in shopping complexes, poses challenges for FM with throngs of shoppers. To tackle these challenges, enhanced and innovative FM practices are necessary.

The study used a qualitative research approach, incorporating case studies, interviews, observations and documentation. It focused on super-regional shopping complexes in the Klang Valley, Malaysia, selecting two complexes for qualitative data collection. Supplementary data were gathered from various sources, including government policy publications, websites, books, journal papers and archival records.

The research provides valuable insights into FM innovations and the application of FM digitalization in shopping complexes after the COVID-19 pandemic. It also addresses challenges faced by FM teams during this period. Recommendations for implementing FM digitalization in super-regional shopping complexes post-COVID-19 include developing skilled personnel, defining appropriate work scopes, strategies and policies, using cost-effective software, and increasing occupant awareness. The involvement of outsourced service providers is advised, emphasizing their understanding of the organization’s business model and innovative approaches.

The findings offer new perspectives on the characteristics of FM digitalization in the commercial sector during business disruptions caused by the pandemic. The proposed strategies are grounded in real industry implementations, aiming to enhance the FM digitalization approach for improved business performance.

This study aims to test the complaints of tourists who visit five-star hotels in Antalya, Turkey, on those same hotels’ websites.

In the study, the data were collected with qualitative methods but analyzed with the mixed analysis method. In this context, the authors collected 1,012 comments on the website between 2016 and 2019.

According to the results of the study, the most intense complaints were found to be concentrated in categories such as ambience, food and staff.

First of all, it is thought that it will make an important contribution to the literature, since different methodologies are adopted in the study. In addition, online shares, evaluations and comments produce positive or negative results for the destination or business in question. It is necessary to closely monitor such activities in electronic environments, as they may have negative consequences, thus revealing the need to take corrective or preventive measures. For this reason, the research is important in terms of not having such a large-scale study in the literature and contributing to the hospitality industry.