Creativity in the hospitality and tourism industry: a meta-analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xi Ouyang ◽  
Zhiqiang Liu ◽  
Chenglin Gui

Purpose Underpinned by the ability–motivation–opportunity framework, this paper aims to establish a framework of employee creativity antecedents in the hospitality and tourism industries and meta-analytically examine the magnitude of effect sizes as well as the moderating effects of cultural factors. Design/methodology/approach A meta-analysis using data from 82 independent studies was conducted to explore the hypothesized relationships and verify how they were contingent on uncertainty avoidance and long-term orientation. Findings The results supported the majority of hypotheses about the relationships between antecedents and creativity. Furthermore, they showed that the effects of intrinsic motivation, positive affect and climate for innovation on creativity in the hospitality and tourism industries were significantly larger than those reported in previous meta-analyses. It also showed that uncertainty avoidance and long-term orientation could buffer or strengthen some associations. Practical implications This study generates some essential managerial suggestions for organizations in need of innovation. Managers can learn from the results so as to effectively promote the ability, motivation and opportunity for creativity and merge cultural elements with innovation strategy when they operate globally. Originality/value This study provides a theory-based explanation for how employee creativity can be activated. To the best of the authors’ knowledge, this study is a first attempt to meta-analytically test the underlying determinants of employee creativity in the hospitality and tourism industries. Additionally, the search for boundary conditions of the proposed relationships is likely to reconcile existing conflicts and inspire future studies.

2018 ◽  
Vol 23 (5) ◽  
pp. 497-512 ◽  
Author(s):  
Chao Miao ◽  
Ronald H. Humphrey ◽  
Shanshan Qian ◽  
Jeffrey M. Pollack

Purpose The topic of entrepreneurial intention, which refers to a person’s degree of interest in creating a new business venture, has received close scrutiny in the entrepreneurship literature. The empirical results regarding the relation between emotional intelligence (EI) and entrepreneurial intention were nevertheless mixed across studies. Based on fit theory and trait activation theory, the purpose of this paper is to explain the fundamental reason for the mixed findings in the extant literature thus far. Design/methodology/approach Random-effects meta-analyses, based on 12 studies (along with 12 effect sizes), were performed to not only investigate the overall relation between EI and entrepreneurial intention but also to examine the moderators (i.e. individualism (vs collectivism), masculinity (vs femininity), power distance, long-term orientation (vs short-term orientation), uncertainty avoidance, and indulgence (vs restraint)) that influence this relation. Findings The results of this meta-analysis demonstrated that EI is positively related to entrepreneurial intention; the positive relationship between EI and entrepreneurial intention is stronger in long-term-oriented cultures; and the positive relationship between EI and entrepreneurial intention does not significantly differ based on a culture’s level of collectivism, masculinity, power distance, uncertainty avoidance, and indulgence. Originality/value This meta-analysis advances the current understanding of the relation between EI and entrepreneurial intention from cross-cultural perspectives.


2020 ◽  
Vol 32 (6) ◽  
pp. 2155-2173 ◽  
Author(s):  
Wen Chang ◽  
Anyu Liu ◽  
Xuhui Wang ◽  
Bowen Yi

Purpose Leader–member exchange (LMX) theory is particularly relevant to the hospitality and tourism industry due to its labor-intensive and service-focused nature. However, the hospitality literature regarding the impact of LMX on its various outcomes have inconsistent results. A holistic review of LMX studies is nonexistent in the current literature. Thus, the purpose of this study is to use a meta approach to quantitatively summarize and examine the relationship between LMX and its outcomes in the hospitality and tourism literature. Design/methodology/approach A total of 89 individual observations from 36 studies conducted between 1997 and 2018 were identified. A Bayesian random effect model was introduced into the hospitality and tourism literature for the first time to implement the meta-analysis. Findings The results suggest significant differences in the impact of LMX on various groups of outcomes. LMX has the strongest impact on firms’ practice-related outcomes, such as organizational justice and employee empowerment. Few moderators are identified on the impact of LMX, such as LMX measure, culture, industry sector and statistical method. Practical implications Findings yielded several recommendations for both hospitality researchers and organizations in developing LMX related studies, as well as managing employees. Originality/value This study is the first Bayesian meta-analysis in the hospitality and tourism literature; it complements LMX theory by linking it to cognitive appraisal theory. Specific characteristics of LMX in the hospitality and tourism industry, such as the measurement of LMX and the effect of industry sector, are also identified.


2020 ◽  
Vol 77 (9) ◽  
pp. 1574-1591 ◽  
Author(s):  
Kyleisha J. Foote ◽  
Pascale M. Biron ◽  
James W.A. Grant

Owing to declines in salmonid populations, in-stream restoration structures have been used for over 80 years to increase abundance of fish. However, the relative effectiveness of these structures remains unclear for some species or regions, partly due to contrasting conclusions from two previous meta-analyses. To update and reconcile these previous analyses, we conducted a meta-analysis using data available from 1969 to 2019 to estimate the effect of in-stream structures on salmonid abundance (number and density) and biomass. Data from 100 stream restoration projects showed a significant increase in salmonid abundance (effect size 0.636) and biomass (0.621), consistent with previous reviews and studies, and a stronger effect was found in adults than in juvenile fish. Despite a shift towards using more natural structures (wood and boulders) since the 1990s, structures have not become more effective. However, most projects monitor for less than 5 years, which may be insufficient time in some systems for channel morphology to adjust and population changes to be apparent. Process-based techniques, which give more space for the river, allow more long-term, self-sustaining restoration.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sandra Lopez-Leon ◽  
Talia Wegman-Ostrosky ◽  
Carol Perelman ◽  
Rosalinda Sepulveda ◽  
Paulina A. Rebolledo ◽  
...  

AbstractCOVID-19 can involve persistence, sequelae, and other medical complications that last weeks to months after initial recovery. This systematic review and meta-analysis aims to identify studies assessing the long-term effects of COVID-19. LitCOVID and Embase were searched to identify articles with original data published before the 1st of January 2021, with a minimum of 100 patients. For effects reported in two or more studies, meta-analyses using a random-effects model were performed using the MetaXL software to estimate the pooled prevalence with 95% CI. PRISMA guidelines were followed. A total of 18,251 publications were identified, of which 15 met the inclusion criteria. The prevalence of 55 long-term effects was estimated, 21 meta-analyses were performed, and 47,910 patients were included (age 17–87 years). The included studies defined long-COVID as ranging from 14 to 110 days post-viral infection. It was estimated that 80% of the infected patients with SARS-CoV-2 developed one or more long-term symptoms. The five most common symptoms were fatigue (58%), headache (44%), attention disorder (27%), hair loss (25%), and dyspnea (24%). Multi-disciplinary teams are crucial to developing preventive measures, rehabilitation techniques, and clinical management strategies with whole-patient perspectives designed to address long COVID-19 care.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Chengxin Luo ◽  
Li Wang ◽  
Guixian Wu ◽  
Xiangtao Huang ◽  
Yali Zhang ◽  
...  

Abstract Background Mobilization failure may occur when the conventional hematopoietic stem cells (HSCs) mobilization agent granulocyte colony-stimulating factor (G-CSF) is used alone, new regimens were developed to improve mobilization efficacy. Multiple studies have been performed to investigate the efficacy of these regimens via animal models, but the results are inconsistent. We aim to compare the efficacy of different HSC mobilization regimens and identify new promising regimens with a network meta-analysis of preclinical studies. Methods We searched Medline and Embase databases for the eligible animal studies that compared the efficacy of different HSC mobilization regimens. Primary outcome is the number of total colony-forming cells (CFCs) in per milliliter of peripheral blood (/ml PB), and the secondary outcome is the number of Lin− Sca1+ Kit+ (LSK) cells/ml PB. Bayesian network meta-analyses were performed following the guidelines of the National Institute for Health and Care Excellence Decision Support Unit (NICE DSU) with WinBUGS version 1.4.3. G-CSF-based regimens were classified into the SD (standard dose, 200–250 μg/kg/day) group and the LD (low dose, 100–150 μg/kg/day) group based on doses, and were classified into the short-term (2–3 days) group and the long-term (4–5 days) group based on administration duration. Long-term SD G-CSF was chosen as the reference treatment. Results are presented as the mean differences (MD) with the associated 95% credibility interval (95% CrI) for each regimen. Results We included 95 eligible studies and reviewed the efficacy of 94 mobilization agents. Then 21 studies using the poor mobilizer mice model (C57BL/6 mice) to investigate the efficacy of different mobilization regimens were included for network meta-analysis. Network meta-analyses indicated that compared with long-term SD G-CSF alone, 14 regimens including long-term SD G-CSF + Me6, long-term SD G-CSF + AMD3100 + EP80031, long-term SD G-CSF + AMD3100 + FG-4497, long-term SD G-CSF + ML141, long-term SD G-CSF + desipramine, AMD3100 + meloxicam, long-term SD G-CSF + reboxetine, AMD3100 + VPC01091, long-term SD G-CSF + FG-4497, Me6, long-term SD G-CSF + EP80031, POL5551, long-term SD G-CSF + AMD3100, AMD1300 + EP80031 and long-term LD G-CSF + meloxicam significantly increased the collections of total CFCs. G-CSF + Me6 ranked first among these regimens in consideration of the number of harvested CFCs/ml PB (MD 2168.0, 95% CrI 2062.0−2272.0). In addition, 7 regimens including long-term SD G-CSF + AMD3100, AMD3100 + EP80031, long-term SD G-CSF + EP80031, short-term SD G-CSF + AMD3100 + IL-33, long-term SD G-CSF + ML141, short-term LD G-CSF + ARL67156, and long-term LD G-CSF + meloxicam significantly increased the collections of LSK cells compared with G-CSF alone. Long-term SD G-CSF + AMD3100 ranked first among these regimens in consideration of the number of harvested LSK cells/ml PB (MD 2577.0, 95% CrI 2422.0–2733.0). Conclusions Considering the number of CFC and LSK cells in PB as outcomes, G-CSF plus AMD3100, Me6, EP80031, ML141, FG-4497, IL-33, ARL67156, meloxicam, desipramine, and reboxetine are all promising mobilizing regimens for future investigation.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yu Chen ◽  
Shaobin Wei ◽  
Li Huang ◽  
Mei Luo ◽  
Yang Wu ◽  
...  

Background. Pelvic inflammatory disease (PID) without timely and proper treatment can cause long-term sequelae; meanwhile, patients will be confronted with the antimicrobial resistance and side effects. Chinese patent medicine as a supplement is used to treat PID with satisfactory clinical efficacy. This study evaluated the efficacy and safety of Fuke Qianjin (FKQJ) combined with antibiotics in the treatment of PID. Methods. Eight electronic databases and other resources were searched to make a collection of the randomized controlled trials (RCTs) from 1990 to 2019. The RCTs contrasting the effect of FKQJ combined with antibiotics regimens and antibiotics alone in reproductive women with PID were included. The antibiotics regimens are all recommended by the guidelines. Two reviewers independently screened the studies, extracted the data, and assessed the methodological quality of the included studies. Then, the meta-analyses were performed by RevMan 5. 3 software if appropriate. Results. Twenty-three RCTs (2527 women) were included in this review. The evidence showed that FKQJ combined with antibiotics improved the markedly effective rate compared to antibiotics alone group (RR = 1.38, 95% CI 1.27 to 1.49, I2 = 42%), shortened the improvement time of low abdominal pain (MD = −1.11, 95% CI −1.39 to −0.84, I2 = 38%), and increased the rate of lower abdominal pain improvement (RR = 1.35, 95% CI 1.19 to 1.55, I2 = 0). The implementation of adjuvant reduced the recurrent rate compared with antibiotics alone (RR = 0.27, 95% CI 0.13 to 0.56, I2 = 0%). Conclusions. Based on available evidence, FKQJ combined with antibiotics therapy have certain outcomes on increasing the markedly effective rate, decreasing the recurrent rate compared with antibiotics alone group. This therapy appears to improve lower abdominal pain and curtail the relief time. Due to the low quality and the risk of bias, any high-quality evidence or longer follow-up period should be advisable and necessary in the future.


2015 ◽  
Vol 35 (2) ◽  
pp. 216-245 ◽  
Author(s):  
Annachiara Longoni ◽  
Raffaella Cagliano

Purpose – Environmental and social sustainability are becoming key competitive priorities for companies, but the way in which they are integrated in operations strategies remains an open issue. The purpose of this paper is to determine whether established operations strategy configuration models (i.e. price-oriented, market-oriented and capability-oriented models) are modified to include environmental and social priorities and whether different operations strategy configuration models are equally successful in the short and long term. Design/methodology/approach – Analyses were performed using data from the International Manufacturing Strategy Survey (2009), including companies in the assembly industry in 21 different countries. According to previous studies, cluster analysis of competitive priorities and ANOVA analysis of the business strategy and short- and long-term performance were performed. Findings – The results show that traditional operations strategy configuration models are slightly modified. Market-oriented and capability-oriented operations strategies are complemented by environmental and social sustainability priorities. These operations strategies are adopted by companies with a differentiation and innovation business strategy. Moreover, capability-oriented companies, which are the most committed to environmental and social sustainability, perform better in both the short and long term. Practical implications – This research shows to companies that traditional operations strategies focusing on specific competitive priorities (e.g. low price) are being replaced by more holistic strategies that include sustainability priorities. However, environmental and social priorities contribute to competitive advantage when complementing capability-oriented operations strategies. Originality/value – This paper extends operations strategy configuration models highlighting how environmental and social sustainability priorities can be deployed together with traditional competitive operations priorities.


2019 ◽  
Vol 27 (1) ◽  
pp. 17-43 ◽  
Author(s):  
Patrick Velte

PurposeThe purpose of this paper is to summarize the key findings of meta-analyses in accounting, auditing and corporate governance research.Design/methodology/approachA structured literature review on 63 meta-analyses related to financial accounting, management accounting, auditing, and corporate governance is conducted.FindingsMost of the previous meta-analyses have been focused on the topic of corporate governance with a clear focus on board composition as an independent variable and by integrating research- and country-specific moderating variables. Meta-analyses in management accounting are rare; furthermore, no meta-analysis in tax accounting has been published yet.Originality/valueMeta-analyses on these topics are expected to become increasingly important in the following years because of the increased number of empirical quantitative research. This literature review gives useful insights for research, practice and regulation.


2017 ◽  
Vol 22 (5) ◽  
pp. 469-476 ◽  
Author(s):  
Frank L. Schmidt

Purpose Meta-regression is widely used and misused today in meta-analyses in psychology, organizational behavior, marketing, management, and other social sciences, as an approach to the identification and calibration of moderators, with most users being unaware of serious problems in its use. The purpose of this paper is to describe nine serious methodological problems that plague applications of meta-regression. Design/methodology/approach This paper is methodological in nature and is based on well-established principles of measurement and statistics. These principles are used to illuminate the potential pitfalls in typical applications of meta-regression. Findings The analysis in this paper demonstrates that many of the nine statistical and measurement pitfalls in the use of meta-regression are nearly universal in applications in the literature, leading to the conclusion that few meta-regressions in the literature today are trustworthy. A second conclusion is that in almost all cases, hierarchical subgrouping of studies is superior to meta-regression as a method of identifying and calibrating moderators. Finally, a third conclusion is that, contrary to popular belief among researchers, the process of accurately identifying and calibrating moderators, even with the best available methods, is complex, difficult, and data demanding. Practical implications This paper provides useful guidance to meta-analytic researchers that will improve the practice of moderator identification and calibration in social science research literatures. Social implications Today, many important decisions are made on the basis of the results of meta-analyses. These include decisions in medicine, pharmacology, applied psychology, management, marketing, social policy, and other social sciences. The guidance provided in this paper will improve the quality of such decisions by improving the accuracy and trustworthiness of meta-analytic results. Originality/value This paper is original and valuable in that there is no similar listing and discussion of the pitfalls in the use of meta-regression in the literature, and there is currently a widespread lack of knowledge of these problems among meta-analytic researchers in all disciplines.


2021 ◽  
Vol 124 ◽  
pp. 10001
Author(s):  
Mohamed Battour ◽  
Mohamed Salaheldeen ◽  
Khalid Mady

Innovation is essential for long-term competitiveness of firms. The lack of innovation can reduce the competitiveness of firms in the hospitality and tourism industry. Therefore, Halal entrepreneurs in the Halal travel market must prepare for a future led by innovation and technology and to build scalable, digitally enabled business models. There are many innovative opportunities that can be translated into Halal tourism product/services for Muslim and non-Muslim travellers. Some aspects of Halal travel may also satisfy the demands of the non-Muslim market. The paper discusses seven innovative opportunities that could be exploited by Halal entrepreneurs in the hospitality and tourism market. The findings are useful for entrepreneurs to develop Halal products and services for Muslim and non-Muslim travellers.


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