{"id":"https://openalex.org/W2941441949","doi":"https://doi.org/10.1017/s0890060419000040","title":"Innovation and business sustainability (IBS): empirical evidence from Indian pharmaceutical industry (IPI)","display_name":"Innovation and business sustainability (IBS): empirical evidence from Indian pharmaceutical industry (IPI)","publication_year":2019,"publication_date":"2019-04-23","ids":{"openalex":"https://openalex.org/W2941441949","doi":"https://doi.org/10.1017/s0890060419000040","mag":"2941441949"},"language":"en","primary_location":{"id":"doi:10.1017/s0890060419000040","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060419000040","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"},"type":"article","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/A5039141659","display_name":"Brajaballav Pal","orcid":"https://orcid.org/0000-0002-0501-0158"},"institutions":[{"id":"https://openalex.org/I41549804","display_name":"Vidyasagar University","ror":"https://ror.org/027jsza11","country_code":"IN","type":"education","lineage":["https://openalex.org/I41549804"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Brajaballav Pal","raw_affiliation_strings":["Department of Commerce with Farm Management, Vidyasagar University, Midnapore \u2013 721102, West Bengal, India"],"raw_orcid":"https://orcid.org/0000-0002-0501-0158","affiliations":[{"raw_affiliation_string":"Department of Commerce with Farm Management, Vidyasagar University, Midnapore \u2013 721102, West Bengal, India","institution_ids":["https://openalex.org/I41549804"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065748811","display_name":"Mithun Nandy","orcid":"https://orcid.org/0000-0002-5695-5418"},"institutions":[{"id":"https://openalex.org/I41549804","display_name":"Vidyasagar University","ror":"https://ror.org/027jsza11","country_code":"IN","type":"education","lineage":["https://openalex.org/I41549804"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Mithun Nandy","raw_affiliation_strings":["Department of Business Administration, Vidyasagar University, Midnapore \u2013 721102, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Administration, Vidyasagar University, Midnapore \u2013 721102, West Bengal, India","institution_ids":["https://openalex.org/I41549804"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065748811"],"corresponding_institution_ids":["https://openalex.org/I41549804"],"apc_list":null,"apc_paid":null,"fwci":7.6811,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.96980025,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"33","issue":"02","first_page":"117","last_page":"128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11059","display_name":"Market Dynamics and Volatility","score":0.9294999837875366,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11059","display_name":"Market Dynamics and Volatility","score":0.9294999837875366,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5385763049125671},{"id":"https://openalex.org/keywords/return-on-assets","display_name":"Return on assets","score":0.5249283909797668},{"id":"https://openalex.org/keywords/panel-data","display_name":"Panel data","score":0.521284818649292},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5202159285545349},{"id":"https://openalex.org/keywords/return-on-equity","display_name":"Return on equity","score":0.4836636483669281},{"id":"https://openalex.org/keywords/stock-exchange","display_name":"Stock exchange","score":0.4720417261123657},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4638153910636902},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.455658882856369},{"id":"https://openalex.org/keywords/descriptive-statistics","display_name":"Descriptive statistics","score":0.4436350464820862},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.44198864698410034},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.43385428190231323},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.4009559750556946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38118425011634827},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3726113438606262},{"id":"https://openalex.org/keywords/business-administration","display_name":"Business administration","score":0.33691245317459106},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13362452387809753},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.10995355248451233}],"concepts":[{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5385763049125671},{"id":"https://openalex.org/C185669311","wikidata":"https://www.wikidata.org/wiki/Q1163221","display_name":"Return on assets","level":3,"score":0.5249283909797668},{"id":"https://openalex.org/C6422946","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Panel data","level":2,"score":0.521284818649292},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5202159285545349},{"id":"https://openalex.org/C155530773","wikidata":"https://www.wikidata.org/wiki/Q591174","display_name":"Return on equity","level":3,"score":0.4836636483669281},{"id":"https://openalex.org/C200870193","wikidata":"https://www.wikidata.org/wiki/Q11691","display_name":"Stock exchange","level":2,"score":0.4720417261123657},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4638153910636902},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.455658882856369},{"id":"https://openalex.org/C39896193","wikidata":"https://www.wikidata.org/wiki/Q380344","display_name":"Descriptive statistics","level":2,"score":0.4436350464820862},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.44198864698410034},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.43385428190231323},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.4009559750556946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38118425011634827},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3726113438606262},{"id":"https://openalex.org/C178550888","wikidata":"https://www.wikidata.org/wiki/Q2043282","display_name":"Business administration","level":1,"score":0.33691245317459106},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13362452387809753},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.10995355248451233},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s0890060419000040","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060419000040","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1689001512","https://openalex.org/W2003902404","https://openalex.org/W2016408632","https://openalex.org/W2023857370","https://openalex.org/W2038131395","https://openalex.org/W2062682518","https://openalex.org/W2072127403","https://openalex.org/W2102347510","https://openalex.org/W2181484385","https://openalex.org/W2181755996","https://openalex.org/W2182513488","https://openalex.org/W2287233358","https://openalex.org/W2331256054","https://openalex.org/W2751203144","https://openalex.org/W2774718480","https://openalex.org/W3121745495","https://openalex.org/W3123992882","https://openalex.org/W3124591263","https://openalex.org/W3125578142","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4386816463","https://openalex.org/W2920295601","https://openalex.org/W4220824507","https://openalex.org/W2601731242","https://openalex.org/W3159468069","https://openalex.org/W4383646258","https://openalex.org/W4390519409","https://openalex.org/W2944605279","https://openalex.org/W3014789498","https://openalex.org/W3100930156"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"aim":[2],"of":[3,34,48,88,124,200],"our":[4],"study":[5,39],"is":[6,11,40,127,134,142,150,160,191,203,210,213,220,228,238,266,274,284],"to":[7,22,177,253],"investigate":[8],"how":[9],"innovation":[10,27],"taking":[12],"place":[13],"through":[14],"different":[15],"research":[16],"and":[17,21,28,78,99,107,115,129,157,167,174,205,235,245,250,263],"development":[18],"(R&D)":[19],"activities":[20],"establish":[23],"a":[24,143,152,221,230,276],"link":[25],"between":[26],"business":[29],"sustainability":[30],"in":[31,102,112],"the":[32,43,55,64,86,122,140,158,178,189,198,218,236,254,264,282],"context":[33],"Indian":[35,50],"pharmaceutical":[36,51],"companies.":[37],"Our":[38],"based":[41,62],"on":[42,54,63,104,109,155,186,233,261,279],"secondary":[44],"data.":[45],"Sample":[46],"data":[47],"37":[49],"companies":[52],"listed":[53],"National":[56],"Stock":[57],"Exchange":[58],"have":[59,72,258],"been":[60],"used":[61],"stratified":[65],"sampling":[66],"technique.":[67],"For":[68],"empirical":[69],"analysis":[70,81],"we":[71],"performed":[73],"descriptive":[74],"statistics,":[75],"correlation":[76],"matrix,":[77],"panel":[79],"regression":[80],"as":[82],"statistical":[83,91],"techniques":[84],"with":[85],"help":[87],"STATA":[89],"12.0":[90],"package.":[92],"R":[93],"2":[94,126],"value":[95,123,133,199,209],"can":[96],"predict":[97],"100":[98],"98.20%":[100],"variability":[101],"return":[103,108],"assets":[105,180,256],"(ROA)":[106],"equity":[110],"(ROE)":[111],"model":[113,116,120,141,196,219],"1":[114],"2,":[117,197],"respectively.":[118],"In":[119,195],"1,":[121],"c":[125],"1.48":[128],"its":[130,206],"corresponding":[131,207],"p":[132,208],"0.00":[135,211],"(<0.05)":[136],"which":[137,212],"means":[138,216],"that":[139,217],"good":[144,222],"fit":[145,223],"for":[146,224],"interpretation.":[147],"R&D":[148,226],"intensity":[149,227,249],"having":[151,183,229,275],"positive":[153,184,231,259],"effect":[154,159,185,190,232,237,260,265,278,283],"ROA":[156,187],"statistically":[161,193,239,267],"significant":[162,240,268,286],"at":[163,241,269,287],"1%":[164,242,270],"level.":[165,243,271,289],"Advertising":[166,244],"marketing":[168,246],"intensity,":[169,171,247],"capital":[170,248],"leverage":[172],"ratio":[173,181,257,273],"operating":[175,251],"expenditure":[176,252],"total":[179,255],"are":[182],"but":[188,281],"not":[192],"significant.":[194],"F":[201],"statistics":[202],"8025.62":[204],"<0.05.":[214],"It":[215],"study.":[225],"ROE":[234,262,280],"Leverage":[272],"negative":[277],"statically":[285],"10%":[288]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}