Oyedele M. OyekuOduyoye OluseyiKarimu FunmilayoAkindoju AkinfolarinIbikunle OlukunleO AmanM TahirH AnsoffA AwangS KhalidA YusofK KassimM IsmailR ZainA MadarJ ButlerH KehW ChamormarnB ChakravarthyJ CovinD SlevinJ CovinT CovinA De KoningT BrownJ DyerH GreggersenC ChristensenJ FitzsimmonsE DouglasM FreseA BrantjesR HoornM FreseM DekruifA GuptaA GovindarajanM IslamM KhanA ObaidullahM AlamB KoteyB SharmaK GaoP KreiserM MarinoL WeaverMP KreiserL MarinoK WeaverR MasonD MillerP FriesenG MurphyS CallawayG MurphyJ TrailerR HillO OwoseniP AkanbiOyedele M; OyekuOduyoyeO; Oluseyi; Ashikia OlalekanMargaret KabuohElemo GloriaNR RoseN KumarL YenR RoseN KumarL YenE SarwokoSurachmanA HadiwidjojoK SaschaC RigteringM HughesV HosmanS SetyawatiM ShariffM SaudJ TorresW WatsonW Wei-WenJ WiklundS Zahra
This study aims to examine the effect of environmental uncertainty on entrepreneurial success amongst 9,450 small and medium enterprises (SMEs) who are registered members of the National Association of Small and Medium Enterprises (NASME), National Association of Small Scale Industrialists (NASSI) and Association of Small Business Owners in Nigeria (ASBON) in Lagos State.Proportionate stratified random sampling method was used to select samples from the sampling frame.Sample size of 381 used for the study was determined using the formula developed by the National Education Association (1960).Primary data on the dependent variable (Entrepreneurial success) and independent variable (Environmental uncertainty) was collected using questionnaire as research instrument.Environmental uncertainty measures are dynamism, complexity and hostility while measures for entrepreneurial success are profitability, market share, net asset growth, sales growth and government policies.The questionnaire was pretested by a pilot study of 50 selected SMEs.Data obtained from the pilot study was analyzed and based on the result, the questionnaire was slightly modified giving an overall Cronbach's Alpha value of 0.791.The statistics of the model summary reveal correlation co-efficient R = .519indicating that the combined influence of the three predictor
Oyedele M. OyekuR AmitE MullerI CockburnM BashirM AfzalM AzeemN BrownhilderJohan Van ZylL BurgerC O'neillD MahadeaJ ButlerH KehW ChamormarnE ButtnerC CallaghanR VenterG ChenS GullyD EdenL Chyi-IyiD PaulJ CovinD SlevinJ CovinD SlevinP DavisJ NaughtonW RothwellM DrnovsekJ WincentM CardonJ DyerH GreggersenC ChristensenM FreseM DekruifA GreveJ SalaffA GuptaA GovindarajanM HazeldineM MilesK HmieleskiR BaronE IbeB InyangR EnouhE IsaacsK VisserC FriedrichP BrijalM IslamM KhanA ObaidullahM AlamO KapepaJ Van VuurenH KehT NguyenPingH NgG KnightS CavusgilB KoteyB SharmaK GaoN KruegerM ReillyA CarsrudF KuswantoroM RosilR AbdulH GhorbaniN LevenburgP LaneT SchwarzA LigthelmG LumpkinG DessM MadhoushiA SadtiH DelavariM MehdivandR MihandostS MagantiB KuberuduG MarkmanD BalkinR BaronD MillerP FriesenR MontagnoD KuratkoJ ScarcellaG MurphyJ TrailerR HillC NwankwoM KanyangaleR OgundejiI OrjiO OwoseniP AkanbiO OyekuO OduyoyeO AsikhiaM KabuohElemoE PerezR CaninoA PratonoT WeeD SyahhariA TyaznugrahaN MatH FitriA Rauch. WiklundLumpkinM Gt & FreseE RogoffM LeeD SuhR RoseN KumarL YenR RoseN KumarL YenE Sadler-SmithY HampsonI ChastonB BadgerE SarwokoSurachmanA HadiwidjojoK SaschaC RigteringM HughesV HosmanS SetyawatiM ShariffM SaudS ShaneE LockeC CollinsJ TorresW WatsonW Wei-WenJ WiklundJ WiklundD ShepherdB WuA KnottS ZahraJ Covin
Charlie ChenPeter RacthamMyungjae Kwak
Saba RiazYanqing WangMuhammad Ishtiaq IshaqAli RazaQurat‐ul‐ain Talpur