What to Sell and How to Sell Matters: Focusing on Luxury Hotel Properties’ Business Performance and Efficiency

2021 ◽  
pp. 193896552110202
Author(s):  
Jaewook Kim ◽  
Sung In Kim ◽  
Minwoo Lee

Due to service product characteristics and a mix of complex sales, it is crucial for hotel firms to efficiently design limited physical spaces that serve multiple purposes to optimize revenue and maximize profit. Since luxury hotel properties have different operation strategies than limited-service hotels, their operational efficiency should be a reference during strategic decision-making processes. Primary research purpose is to identify the most efficient operation model for luxury hotel properties. The study computed operation efficiency scores using the data envelopment analysis approach to rank the property efficiency of 37 fully equipped luxury hotels in the United States. Each property can utilize slack analysis to discover a strategic benchmarking company (best efficient frontier) and intuitive strategic recommendations and gain superior input and output productivity. Tobit model analysis provides supplemental understandings regarding the additional operational factors impacting luxury hotel properties’ efficiency score variations. Operating efficiency was found to be achieved by multiple operating inputs and influenced by relative price, fixed costs, and management systems. Theoretical comprehensiveness of luxury service mix has been empirically tested by highlighting efficiency as a key measure. In addition, RevPAR’s ratio on TRevPAR further highlights the importance for luxury hotels to increase non-room sales and revenues to accomplish efficiency.

2019 ◽  
Vol 42 (1) ◽  
pp. 122-140 ◽  
Author(s):  
Ada Leung ◽  
Huimin Xu ◽  
Gavin Jiayun Wu ◽  
Kyle W. Luthans

Purpose This paper aims to examine a type of interorganizational learning called Industry Peer Networks (IPNs), in which a network of non-competing small businesses cooperates to improve their skills and to stay abreast of the industry trends, so that the firms remain competitive in the local and regional markets. The key characteristic of an IPN is the regular gathering of peers in small groups (typically 20 or fewer carefully selected members) in an atmosphere of significant trust, guided by a facilitator, to participate in a series of formal and informal activities through established guidelines, to share knowledge about management and marketing, exchange information about industry trends beyond their core markets, discuss issues related to company performance and provide constructive criticism about peer companies. Design/methodology/approach The qualitative research on the context included visits to 13 peer meetings, three workshops for peer members, seven semi-structured interviews with members and many communications with the founder, chairman, committee chairpersons and several facilitators of peer meetings that spanned across five years. Data collection and analysis followed grounded theory building techniques. Findings The authors identified both cooperative and competitive learning practices that a small business could carry out to grow from a novice to an expert IPN peer member. The cooperative elements such as peer discussions, disclosure of financial data and exposure to various business models allow member firms to learn vicariously through the successes and/or failure of their peers. At the same time, the competitive elements such as service delivery critiques, business performance benchmarking and firm ranking also prompt the members to focus on execution, to emphasize accountability and to strive for status in the network. The IPN in this research has also built network legitimacy over time, and it has sustained a viable administrative entity that has a recognizable form and structure, whose functions are to strategically manage network activities and network growth to attract like-minded new members. Research limitations/implications First, because this research focused on fleshing out the transformative practices engaged by IPN peers, it necessarily neglected other types of network relationships that affect the small businesses, including local competitors, vendors and customers. Second, the small employment size of these firms and the personal nature of network ties in the IPN may provide an especially fertile ground for network learning that might not exist for larger firms. Third, the technology-intensive and quality-sensitive nature of IT firms may make technological trend sensitization and operating efficiency more competitive advantages in this industry than in others. Finally, although participation in IPN is associated with higher level of perceived learning, the relationship between learning and business performance is not yet articulated empirically. Practical implications The study contributes to the understanding of cooperative/competitive transformative practices in the IPN by highlighting the defining features at each transformation stage, from firms being isolated entities which react to market forces to connected peers which proactively drive the markets. IPNs are most effective for business owners who are at their early growth stage, in which they are positioned to grow further. Nevertheless, the authors also present the paradoxical capacity of IPNs to propel firms along trajectories of empowerment or disengagement. Social implications As 78.5 per cent of the US firms are small businesses having fewer than 10 employees, the knowledge of firm and IPN transformation is important for both researchers and advocates of small businesses to understand the roots of success or failure of firms and the IPNs in which they are embedded. Originality/value Earlier research has not explored the network-level effects as part of a full array of outcomes. Instead, research involving IPNs has focused primarily on the motivation and immediate firm-level outcomes of IPNs. Research to this point has also failed to examine IPNs from a developmental perspective, how the firms and the IPN as a network transform over time.


2016 ◽  
Vol 3 ◽  
pp. 5040
Author(s):  
Stephen Leybourne

This case study was developed from an actual scenario by Dr. Steve Leybourne of Boston University.  The case documents the historical evolution of an organization, and has been used successfully in courses dealing with organizational and cultural change, and the utilization of ‘soft skills’ in project-based management.This is a short case, ideal for classroom use and discussion.  The issues are easily accessible to students, and there is a single wide ranging question that allows for the inclusion of many issues surrounding strategic decision-making, and behavioural and cultural change.Alpha was one of the earlier companies in the USA to invest in large, edge-of-town superstores, with plentiful free vehicle parking, selling food and related household products.Alpha was created in the 1950s as a subsidiary of a major publicly quoted retail group.  It started business by opening a string of very large discount stores in converted industrial and warehouse premises in the south of the United States. In the early days shoppers were offered a limited range of very competitively priced products.When Alpha went public in 1981 it was the fourth largest food retailer in the US, selling an ever-widening range of food and non-food products.  Its success continued to be based on high volume, low margins and good value for money, under the slogan of ‘Alpha Price.’ 


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
One-Ki Daniel Lee ◽  
Peng Xu ◽  
Jean-Pierre Kuilboer ◽  
Noushin Ashrafi

PurposeThe purpose of this study is to understand how IT capabilities for knowledge management and process integration can build a firm's agile process capabilities for sensing, strategic decision and responding. The study also investigates how the three agile capabilities affect firm performance in different competitive environments.Design/methodology/approachThis study conducted a large-scale field survey with firms in the United States. Survey invitations were sent to business executives of the target firms. A total of 254 complete samples were collected for our hypotheses test.FindingsThe results confirm the overall significant roles of IT capabilities in the three agile capabilities. The results further reveal that the IT capability for knowledge management has a higher influence on sensing capability, while the IT capability for process integration has a higher influence on responding capability. Moreover, strategic decision and responding capabilities are more important in the high market competition. However, in the low market competition, sensing capability becomes more important while responding capability demonstrates a negative impact on firm performance.Originality/valueThis study helps both academics and practitioners better understand a firm's IT-agility-performance mechanism. Particularly, our findings guide how to achieve agile capabilities and what to focus on under the different levels of market competition.


Systems thinking is considered as an important tool in developing strategic decision in marketing. The systems approach enables connecting objects of various types to a single platform of thinking, to organize different forms of activity within the given time and space of the situation in business. This chapter describes how systems thinking could provide a framework to various marketing process and create a map of the value chain that specifies relationships among the components of the marketing processes. Discussions in the chapter provide a conceptual framework of the development of systems thinking and systems methodologies and explain how such approaches can deal with issues of market complexity. Causal models in developing marketing strategy are illustrated, and new insights on thinking as a method to achieve desired business performance are also discussed.


2020 ◽  
Vol 32 (5) ◽  
pp. 1813-1835
Author(s):  
Béchir Ben Lahouel ◽  
Nathalie Montargot

Purpose This purpose of this study was to explore two key issues in experiential marketing from an organizational perspective: the management of “strategic experiential modules” and the management of “service encounters” specific to a memorable experience for children in urban luxury hotels. Design/methodology/approach An integrated model combining managerial and practice-oriented frameworks was used to study how luxury hotel managers design and create memorable experiences for children. The study took a qualitative approach in collecting in-depth data and interviewed 35 managers of five-star luxury hotels in Paris. The data were processed using the Alceste software, an automated lexical program that analyzed the co-occurrence of words and sentences. Findings With regard to the integrated model, the analysis of the interviews distinguished four main dimensions, which accounted for more than 84 per cent of the original textual data. Three dimensions, related to emotional-sensorial-physical experiential modules, described how managers strategically managed the child experience and journey while at their hotel. A fourth dimension was also identified in relation to the upstream of the service encounter. The findings highlighted a significant gap in how hotel managers were managing the experiences of children under 12 years of age and that further incorporation of various touchpoints is needed to improve the management of the service design. Research limitations/implications This study demonstrated the applicability of the proposed integrated model, which offers valuable marketing implications for luxury hotel managers. It is suggested that more research on the management of the child experience and journey is conducted in the future. Originality/value To the best of the researchers’ knowledge, this is the first empirical study to combine these two frameworks to study the management of the child experience and journey in the luxury hospitality sector.


Author(s):  
Huan Li ◽  
Eleftherios Iakovou ◽  
Christos Douligeris

The development of a comprehensive model of the marine oil transportation in the Gulf of Mexico is presented; it solves for oil flow distribution in a competitive multimodal and multiproduct network on the basis of systemwide optimization. It is a high-level strategic decision-making tool that will be used to interface with a risk analysis model, which is under development, to identify weak links in the system and evaluate alternative routing and shipping scenarios. It may also be used to provide suggestions for the designation of lightering zones, which will enable the United States to draw from the general world supply of tanker capacity and reduce oil transportation costs and risks.


2019 ◽  
Vol 20 (3) ◽  
pp. 272-287
Author(s):  
Matteo Pedrini ◽  
Chiara De Bernardi

This paper examines the choice of affiliation or no affiliation to a large hotel chain from the viewpoint of luxury hotel property owners in Germany. Grounded in transaction cost theory, this study identifies how uncertainty and frequency influence the owners’ choice of unaffiliated operation and affiliation. The study augments the traditional governance literature in the field of the hotel by shedding light on the market/hierarchy decision of property owners rather than on the market entry strategies of international hotels firm. Through a multiple regression analysis on a sample of 122 existing five-star hotels in Germany, this study provides new empirical evidence that a frequent contract conclusion with the same hotel chain and a “hotel unrelated” background of the owner increases the likelihood of affiliation. In contrast to what transaction cost theory traditionally predicts, our results reveal that uncertainty is not influencing the owners’ market/hierarchy decision.


2019 ◽  
Vol 10 (1) ◽  
pp. 107-120 ◽  
Author(s):  
Zaid Alrawadieh ◽  
Mithat Zeki Dincer

PurposeDrawing on a sample of 520 negative reviews posted on TripAdvisor against all five-star hotels operating in Petra, Jordan, the purpose of this paper is to evaluate the response of luxury hotels to negative online reviews by considering the Response Rate (RR), the Response Time (RT) and the Response Content (RC).Design/methodology/approachA deductive content analysis was used on hotels’ managerial responses. Based on the literature review, a four-construct scheme was identified to guide the analysis including Appreciation; Apology; Explanation; and Incentive. The managerial responses were carefully read and manually coded based on the four-construct scheme. The time between the review posting date and the date of the managerial response was also recorded. Luxury hotel managers were also surveyed to obtain insights into their perceptions and practices with respect to online reputation management.FindingsThe findings call into question luxury hotels’ awareness of the harmful impact of negative online reviews. Specifically, the findings suggest that less than half of the negative reviews received a managerial response, and that more than half of these were standardized and did not refer to the issues raised in the reviews. The low response rate coupled with the hotel managers’ consensus on the importance of answering all online reviews indicates inconsistency between hotel managers’ perceptions and practices with regard to online reputation management.Originality/valueThe paper adds to the ongoing debate on reputation management in the hospitality industry by considering the managerial response to negative online reviews. The paper discusses several managerial implications for hotel managers as well as avenues for future research.


Author(s):  
Raleigh McCoy ◽  
Joseph A. Poirier ◽  
Karen Chapple

Transportation agencies at the local, state, and federal levels in the United States (U.S.) have shown a growing interest in expanding bicycle infrastructure, given its link to mode shift and safety goals. These projects, however, are far from universally accepted. Business owners have been particularly vocal opponents, claiming that bicycle infrastructure will diminish sales or fundamentally change the character of their neighborhoods. Using the case of San Francisco, this research explores the relationship between bicycle infrastructure and business performance in two ways: change in sales over time, and a comparison of sales for new and existing businesses. An ordinary least squares regression is used to model the change in sales over time, isolating the effect of location on bicycle infrastructure while controlling for characteristics of the business, corridor, and surrounding neighborhood. Through a series of t-tests, average sales for businesses that pre-date bicycle infrastructure and for those that opened after the installation of such projects are compared. Ultimately, the research suggests that location on bicycle infrastructure and changes in on-street parking supply generally did not have a significant effect on the change in sales, with a few exceptions. Businesses that sell goods for the home or auto-related goods and services saw a significant decline in sales when located on corridors with bike lanes. New and existing businesses generally had similar sales, though not across the board. New restaurants and grocery stores had significantly higher sales than their existing counterparts, suggesting bicycle infrastructure may attract more upmarket businesses in those industries.


2020 ◽  
Vol 12 (24) ◽  
pp. 10385
Author(s):  
Chia-Nan Wang ◽  
Thanh-Tuan Dang ◽  
Ngoc-Ai-Thy Nguyen ◽  
Thi-Thu-Hong Le

E-commerce has become an integral part of businesses for decades in the modern world, and this has been exceptionally speeded up during the coronavirus era. To help businesses understand their current and future performance, which can help them survive and thrive in the world of e-commerce, this paper proposes a hybrid approach that conducts performance prediction and evaluation of the e-commerce industry by combining the Grey model, i.e., GM (1, 1) and data envelopment analysis, i.e., the Malmquist-I-C model. For each e-commerce company, GM (1, 1) is applied to predict future values for the period 2020–2022 and Malmquist-I-C is applied to calculate the efficiency score based on output variables such as revenue and gross profit and input variables such as assets, liabilities, and equity. The top 10 e-commerce companies in the US market are used to demonstrate model effectiveness. For the entire research period of 2016–2022, the most productive e-commerce marketplace on average was eBay, followed by Best Buy and Lowe’s; meanwhile, Groupon was the worst-performing e-commerce business during the studied period. Moreover, as most e-commerce companies have progressed in technological development, the results show that the determinants for productivity growth are the technical efficiency change indexes. That means, although focusing on technology development is the key to e-commerce success, companies should make better efforts to maximize their resources such as labor, material and equipment supplies, and capital. This paper offers decision-makers significant material for evaluating and improving their business performance.


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