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100			_a20200709a2020 k y0engy50 ba
101	0		_aeng
135			_adrcn ---uucaa
181		0	_ai
182		0	_ab
200	1		_aThe relevance of mixed methods for network analysis in tourism and hospitality research _fM. Mariani, R. Baggio
203			_aText _celectronic
300			_aTitle screen
330			_aPurpose Taking stock of extant hospitality and tourism research using social network analysis approaches, this study highlights why using either quantitative or qualitative approaches to examine social networks can be misleading and generate potentially biased findings. Indeed, purely qualitative and purely quantitative studies display limitations. The purpose of this study is to provide methodological insights by suggesting that mixed methods can be suitably used, depending on the specific research questions. Design/methodology/approach The study consists of an analysis and critical discussion of the methods used in a number of papers leveraging social network approaches to study social networks in tourism and hospitality. The authors describe the benefits and limitations of each method studies considered are examined based on a number of aspects.
330			_aFindings More than half of the studies classified as network studies adopt quantitative designs and quantitative methods including statistical analyses and observational data. Mixed methods study is a minority and they are almost never labeled as mixed methods. A relevant portion of qualitative studies increasingly embeds a number of rudimentary statistical analyses. With an example, the authors also discuss that purely quantitative or purely qualitative methods can lead to discrepant results, and thus, the authors encourage scholars to embrace mixed method research designs such as explanatory or exploratory sequential designs. Advanced researchers might attempt in the future to embrace transformative, embedded or multiphase mixed methods. Research limitations/implications This study is based on academic papers and research published before 2019. A rich research agenda is designed. Originality/value This study contributes to explore the way social networks have been dealt with in tourism and hospitality research so far, by advancing a proposal to adopt mixed methods in the form of explanatory or exploratory sequential designs. To the best of the knowledge, it is the first study addressing methodological pitfalls in extant network-based research within the tourism and hospitality domain.
333			_aРежим доступа: по договору с организацией-держателем ресурса
461			_tInternational Journal of Contemporary Hospitality Management
463			_tVol. 32, iss. 4 _v[P. 1643-1673] _d2020
610	1		_aэлектронный ресурс
610	1		_aтруды учёных ТПУ
610	1		_atourism
610	1		_aтуризм
610	1		_anetwork analysis
610	1		_aсетевой анализ
610	1		_aquantitative methods
610	1		_aколичественные методы
610	1		_ahospitality
610	1		_aгостеприимство
610	1		_amixed methods
700		1	_aMariani _bM. _gMarcello
701		1	_aBaggio _bR. _cItalian expert, philosopher _cProfessor of Tomsk Polytechnic University, candidate of philosophical Sciences _f1951- _gRodolfo _2stltpush _3(RuTPU)RU\TPU\pers\39762
712	0	2	_aНациональный исследовательский Томский политехнический университет _bШкола базовой инженерной подготовки _bОтделение социально-гуманитарных наук _h8033 _2stltpush _3(RuTPU)RU\TPU\col\23512
801		2	_aRU _b63413507 _c20200709 _gRCR
856	4		_uhttps://doi.org/10.1108/IJCHM-04-2019-0378
942			_cCF