{"id":"https://openalex.org/W7160053549","doi":"https://doi.org/10.2174/9798898813932126030010","title":"Leveraging Data Analytics for Sustainable Improvements in Employee Engagement and Organizational Culture","display_name":"Leveraging Data Analytics for Sustainable Improvements in Employee Engagement and Organizational Culture","publication_year":2026,"publication_date":"2026-04-22","ids":{"openalex":"https://openalex.org/W7160053549","doi":"https://doi.org/10.2174/9798898813932126030010"},"language":"en","primary_location":{"id":"doi:10.2174/9798898813932126030010","doi":"https://doi.org/10.2174/9798898813932126030010","is_oa":false,"landing_page_url":"https://doi.org/10.2174/9798898813932126030010","pdf_url":null,"source":{"id":"https://openalex.org/S4306462908","display_name":"BENTHAM SCIENCE PUBLISHERS eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320079","host_organization_name":"Bentham Science Publishers","host_organization_lineage":["https://openalex.org/P4310320079"],"host_organization_lineage_names":["Bentham Science Publishers"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Behavioural Analytics: Machine Learning Approaches for Predictive Insights","raw_type":"book-chapter"},"parent_works":[{"id":"https://openalex.org/W7160026529","display_name":"Behavioural Analytics: Machine Learning Approaches for Predictive Insights","relationship":"volume"}],"lineage":["https://openalex.org/W7160053549","https://openalex.org/W7160026529"],"child_works_count":0,"type":"book-chapter","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111134533","display_name":"Sanjita Lenka","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4387930198","display_name":"C.V. Raman Global University","ror":"https://ror.org/032583b91","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387930198"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanjita Lenka","raw_affiliation_strings":["Department of Business Management, C.V. Raman Global University, Bhubaneswar, Odisha,\nIndia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Management, C.V. Raman Global University, Bhubaneswar, Odisha,\nIndia","institution_ids":["https://openalex.org/I4387930198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135105652","display_name":"Subhamanaisini Nayak","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4387930198","display_name":"C.V. Raman Global University","ror":"https://ror.org/032583b91","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387930198"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subhamanaisini Nayak","raw_affiliation_strings":["Department of Business Management, C.V. Raman Global University, Bhubaneswar, Odisha,\nIndia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Management, C.V. Raman Global University, Bhubaneswar, Odisha,\nIndia","institution_ids":["https://openalex.org/I4387930198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059744152","display_name":"Jyotisman Das Mohapatra","orcid":"https://orcid.org/0000-0002-4484-1587","observed_orcids":["https://orcid.org/0000-0002-4484-1587"]},"institutions":[{"id":"https://openalex.org/I4387930198","display_name":"C.V. Raman Global University","ror":"https://ror.org/032583b91","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387930198"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jyotisman Das Mohapatra","raw_affiliation_strings":["Department of Business Management, C.V. Raman Global University, Bhubaneswar, Odisha,\nIndia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Management, C.V. Raman Global University, Bhubaneswar, Odisha,\nIndia","institution_ids":["https://openalex.org/I4387930198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4387930198"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"77","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13812","display_name":"AI and HR Technologies","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13812","display_name":"AI and HR Technologies","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14309","display_name":"Employee Performance and Management","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10006","display_name":"Job Satisfaction and Organizational Behavior","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/employee-engagement","display_name":"employee engagement","score":0.9919999837875366},{"id":"https://openalex.org/keywords/organizational-culture","display_name":"organizational culture","score":0.9890000224113464},{"id":"https://openalex.org/keywords/data-analytics","display_name":"data analytics","score":0.7229999899864197},{"id":"https://openalex.org/keywords/employee-retention","display_name":"employee retention","score":0.5860000252723694},{"id":"https://openalex.org/keywords/labor-productivity","display_name":"labor productivity","score":0.7720000147819519},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"sentiment analysis","score":0.8479999899864197},{"id":"https://openalex.org/keywords/predictive-modeling","display_name":"predictive modeling","score":0.878000020980835},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.7630000114440918},{"id":"https://openalex.org/keywords/human-resource-management","display_name":"human resource management","score":0.9319999814033508},{"id":"https://openalex.org/keywords/employee-well-being","display_name":"employee well-being","score":0.7540000081062317}],"concepts":[{"id":"https://openalex.org/C99753626","wikidata":"https://www.wikidata.org/wiki/Q14937678","display_name":"Employee engagement","level":2,"score":0.7975000143051147},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.5776000022888184},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5537999868392944},{"id":"https://openalex.org/C2778139618","wikidata":"https://www.wikidata.org/wiki/Q13440398","display_name":"Workforce","level":2,"score":0.5315999984741211},{"id":"https://openalex.org/C182021174","wikidata":"https://www.wikidata.org/wiki/Q5374295","display_name":"Employee research","level":3,"score":0.5067999958992004},{"id":"https://openalex.org/C67674302","wikidata":"https://www.wikidata.org/wiki/Q730573","display_name":"Organizational culture","level":2,"score":0.49959999322891235},{"id":"https://openalex.org/C25740722","wikidata":"https://www.wikidata.org/wiki/Q3044915","display_name":"Disengagement theory","level":2,"score":0.4722000062465668},{"id":"https://openalex.org/C2781285665","wikidata":"https://www.wikidata.org/wiki/Q17012157","display_name":"Employee morale","level":3,"score":0.4636000096797943},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.45809999108314514},{"id":"https://openalex.org/C2776745293","wikidata":"https://www.wikidata.org/wiki/Q7798302","display_name":"Thriving","level":2,"score":0.4553000032901764},{"id":"https://openalex.org/C2776915394","wikidata":"https://www.wikidata.org/wiki/Q5196451","display_name":"Customer engagement","level":3,"score":0.43869999051094055},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.4065999984741211},{"id":"https://openalex.org/C149215556","wikidata":"https://www.wikidata.org/wiki/Q5374296","display_name":"Employee resource groups","level":4,"score":0.3955000042915344},{"id":"https://openalex.org/C165672731","wikidata":"https://www.wikidata.org/wiki/Q25047583","display_name":"Organizational performance","level":2,"score":0.3840999901294708},{"id":"https://openalex.org/C202372285","wikidata":"https://www.wikidata.org/wiki/Q1056396","display_name":"Human resource management","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C2778729106","wikidata":"https://www.wikidata.org/wiki/Q1140126","display_name":"Social media analytics","level":3,"score":0.3522000014781952},{"id":"https://openalex.org/C2778735886","wikidata":"https://www.wikidata.org/wiki/Q1939410","display_name":"Employee retention","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3138999938964844},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C12532035","wikidata":"https://www.wikidata.org/wiki/Q1399956","display_name":"Performance management","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C2718322","wikidata":"https://www.wikidata.org/wiki/Q629463","display_name":"Job satisfaction","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C107645774","wikidata":"https://www.wikidata.org/wiki/Q5467169","display_name":"Human resources","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C2778564829","wikidata":"https://www.wikidata.org/wiki/Q17010605","display_name":"Employee motivation","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C2777011882","wikidata":"https://www.wikidata.org/wiki/Q5193493","display_name":"Culture change","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.26660001277923584},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C184356942","wikidata":"https://www.wikidata.org/wiki/Q830382","display_name":"Best practice","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C2781160688","wikidata":"https://www.wikidata.org/wiki/Q2234192","display_name":"Work engagement","level":3,"score":0.2590000033378601}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2174/9798898813932126030010","doi":"https://doi.org/10.2174/9798898813932126030010","is_oa":false,"landing_page_url":"https://doi.org/10.2174/9798898813932126030010","pdf_url":null,"source":{"id":"https://openalex.org/S4306462908","display_name":"BENTHAM SCIENCE PUBLISHERS eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320079","host_organization_name":"Bentham Science Publishers","host_organization_lineage":["https://openalex.org/P4310320079"],"host_organization_lineage_names":["Bentham Science Publishers"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Behavioural Analytics: Machine Learning Approaches for Predictive Insights","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.833299994468689,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2029532555","https://openalex.org/W2122517769","https://openalex.org/W2132199097","https://openalex.org/W2530409471","https://openalex.org/W3128322124","https://openalex.org/W3153646072","https://openalex.org/W3206081008","https://openalex.org/W4403534506"],"related_works":["https://openalex.org/W7154166904","https://openalex.org/W7154067622","https://openalex.org/W7213243618","https://openalex.org/W7217578128","https://openalex.org/W4399548261","https://openalex.org/W7204991626","https://openalex.org/W2780578957","https://openalex.org/W7127637531","https://openalex.org/W4408243200","https://openalex.org/W4409380915"],"abstract_inverted_index":{"In":[0],"today\u2019s":[1],"dynamic":[2],"business":[3],"landscape,":[4],"organizations":[5,60,101],"are":[6],"increasingly":[7],"leveraging":[8],"data":[9,71,160,171,189,207],"analytics":[10,48,72,208],"to":[11,29,61,73,130,141,181,196,231],"enhance":[12],"employee":[13,63,75,134,159,174,198,220],"engagement":[14,39,107,175],"and":[15,34,41,56,65,83,98,117,136,145,151,177,184,191,225],"foster":[16],"a":[17,43,227],"thriving":[18],"organizational":[19,92,118,137,223],"culture.":[20],"It":[21],"explores":[22],"how":[23],"data-driven":[24,215],"insights":[25,105],"can":[26,102,217],"be":[27],"utilized":[28],"boost":[30,74],"workforce":[31,125],"morale,":[32],"productivity,":[33,152],"retention":[35,150],"by":[36],"identifying":[37,77],"key":[38],"drivers":[40],"promoting":[42],"positive":[44],"work":[45],"environment.":[46],"Advanced":[47],"tools,":[49],"such":[50,86],"as":[51,87],"sentiment":[52],"analysis,":[53],"performance":[54],"metrics,":[55],"feedback":[57],"systems,":[58],"enable":[59],"monitor":[62],"sentiments":[64],"behaviours":[66],"continuously.":[67],"The":[68,139,156,200],"study":[69],"examines":[70,166],"engagement,":[76],"drivers,":[78],"best":[79,179],"practices,":[80],"cultural":[81],"impacts,":[82],"future":[84],"trends":[85],"AI":[88],"for":[89,110],"proactive,":[90],"tailored":[91,111],"strategies.":[93],"By":[94],"integrating":[95],"predictive":[96],"modelling":[97],"machine":[99],"learning,":[100],"gain":[103],"deeper":[104],"into":[106],"trends,":[108],"allowing":[109],"interventions":[112],"at":[113],"the":[114,167,203,232,236],"individual,":[115],"team,":[116],"levels.":[119],"Such":[120],"strategies":[121,176],"not":[122],"only":[123],"improve":[124,219],"satisfaction":[126],"but":[127],"also":[128],"contribute":[129],"better":[131],"alignment":[132],"between":[133],"goals":[135],"objectives.":[138],"ability":[140],"identify":[142],"disengagement":[143],"early":[144],"implement":[146],"corrective":[147],"measures":[148],"enhances":[149],"fostering":[153],"sustainable":[154],"growth.":[155],"use":[157],"of":[158,170,206,235],"requires":[161],"ethical":[162,168],"considerations.":[163],"This":[164],"paper":[165],"implications":[169],"usage":[172],"in":[173,209],"suggests":[178],"practices":[180],"uphold":[182],"fairness":[183],"respect.":[185],"Clear":[186],"communication":[187],"about":[188],"collection":[190],"its":[192],"purposes":[193],"is":[194],"essential":[195],"maintain":[197],"confidence.":[199],"findings":[201],"underscore":[202],"transformative":[204],"potential":[205],"human":[210],"resource":[211],"management.":[212],"Implemented":[213],"responsibly,":[214],"approaches":[216],"significantly":[218],"well-being,":[221],"drive":[222],"success,":[224],"build":[226],"culture":[228],"that":[229],"adapts":[230],"evolving":[233],"needs":[234],"modern":[237],"workforce.":[238]},"counts_by_year":[],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2026-05-05T00:00:00"}