Change Management In The Fashion Industry Statistics

McKinsey reports that “high-performing organizations are 2.5x more likely than their peers to have effective change management” (2018 McKinsey Organizational Health—change management effectiveness) [1]

Prosci’s research found that “PMPs average 20–30% higher success rates when the sponsor is involved” (sponsorship in change management) [2]

PMI (Pulse of the Profession) states “Organizations that invest in change management are 2.5 times more likely to meet objectives” (change management investment improves delivery outcomes) [3]

Harvard Business Review notes that “companies that use planned change approaches are 30% more likely to achieve project goals” (planned change/managed change approaches) [4]

Gartner reports that “throughout 2023, 90% of organizations had used AI in some form” (transformation/changing ways of working—context for change) [5]

McKinsey (2021) states “quitting behavior in transformation programs is high: ~70% fail to achieve stated objectives” (change/transformation failure rate) [6]

PwC global study reports that “74% of respondents say they have not achieved benefits from transformation initiatives” (change program benefit realization gap) [7]

Deloitte indicates “only 54% of change programs meet their objectives” (program success rate) [8]

Prosci’s “Best Practices in Change Management” research shows “35% of employees who experience inadequate change management view the change as a threat” (employee sentiment from change management quality) [9]

IBC (Institute of Business Change) reports that “missed deadlines are a primary driver of transformation failure, responsible for 37% of failures” (change program risk) [10]

SHRM notes that “employee engagement increases by 24% when effective change communication is used” (communication effectiveness tied to engagement) [11]

Gartner states that “by 2024, 75% of organizations will have implemented a change management system” (adoption of formal change management) [12]

PMI reports “35% of projects fail due to poor stakeholder engagement” (stakeholder/change engagement risk) [13]

OPM3 Institute/PMI states “High performing organizations have 1.5x higher probability of achieving objectives using mature change practices” (change maturity to outcomes) [14]

Prosci says “Organizations that provide training and coaching are 4x more likely to achieve adoption” (reinforcement/training impact) [15]

Prosci research found “50% of change attempts fail to meet objectives due to resistance” (resistance as failure driver) [16]

McKinsey (2013) states “successful transformations are twice as likely to have a clear communication and engagement approach” (communication/engagement in change) [17]

KPMG indicates “60% of transformations fail to achieve intended results” (change/transformation failure rate) [18]

Change management research by Prosci: “On average, 70% of change initiatives fail, not because of the change itself but because people resist it” (people/resistance driver) [19]

Harvard Kennedy School/Project Management Institute data: “Stakeholder engagement is cited as a top reason for project success” with “over 70%” alignment emphasis (stakeholder management prevalence) [20]

Gartner: “By 2023, organizations that improve change control will reduce project failure rates by 20%” (change control reduces failure) [21]

BCG notes “transformations need more than strategy; execution is decisive, with cultural change cited in most failures” (execution/culture change) [22]

IBM research reports “63% of executives say they have changed their culture in the past 3 years” (culture change prevalence) [23]

PwC “Digital transformation” survey indicates “73% of CEOs say their organization is not fully prepared for digital transformation” (readiness gap for change) [24]

Deloitte Human Capital Trends states “Only 33% of organizations have a culture that supports employee engagement” (culture/people change challenge) [25]

SHRM indicates “companies with strong employee communication are 50% more likely to have lower attrition” (communication linked to retention) [26]

Mercer survey reports “57% of executives say organizational change is a top strategic priority” (priority to change) [27]

World Economic Forum states “Over 50% of employees will need reskilling by 2025” (workforce change pressure) [28]

GlobalData states “apparel is among the fastest growing categories in e-commerce in most markets” with “double-digit growth rates” (fashion sales channel change) [29]

Shopify reports “the number of online stores on Shopify increased from 2.1 million to 3.1 million between 2020 and 2023” (storefront adoption) [30]

Salesforce reports “71% of consumers expect companies to understand their needs and expectations” (customer behavior change) [31]

McKinsey: “about 20–30% of retail sales can be influenced by personalization” (retail revenue lift influence) [32]

Retailers using omnichannel: “customers spend 4% more in-store and 10% more online when omnichannel” (omnichannel spend lift) [33]

Harvard Business Review: “omnichannel customers spend 1.5 times as much as single-channel customers” (spend comparison) [34]

NielsenIQ/retail media reports “retail media budgets grew 18% in 2022” (adtech shift) [35]

IAB (Internet Advertising Bureau) states “programmatic display accounted for 80% of display spending” (ad tech change) [36]

Google/Ipsos indicates “search influences 94% of purchase decisions” (conversion funnel change) [37]

Comscore states “TikTok reached 1 billion monthly active users” (social commerce change) [38]

Meta reports “Instagram has over 2 billion monthly active accounts” (platform scale) [39]

TikTok newsroom: “TikTok has over 1 billion monthly active users” (MAU adoption) [40]

WARC indicates “mobile commerce accounts for more than 50% of ecommerce traffic” (mobile shift) [41]

Similarweb reports “e-commerce average conversion rates are around 1–3%” (benchmark) [42]

McKinsey: “customers are 1.4x more likely to purchase in stores after using digital channels” (research-online-store behavior) [43]

Google: “retailers that optimize their shopping feed can increase conversions by up to 30%” (feed optimization) [44]

Klarna (study): “73% of consumers say flexible payment options make them more likely to complete purchases” (checkout finance change) [45]

Mastercard: “71% of consumers prefer digital-first” (payment behavior) [46]

Worldpay: “global ecommerce share is 19% in 2022” (ecommerce channel change) [47]

Prosci research: “75% of change projects fail due to poor adoption” (adoption gap) [48]

Prosci: “Without a change management plan, organizations have a 4x higher chance of project failure” (plan/adoption) [49]

Prosci: “33% of employees report that they were not fully informed about the change” (communication deficiency) [50]

Changefirst (employee engagement) indicates “effective communication can reduce employee resistance by 50%” (resistance reduction) [51]

Kotter (8 steps) approach is widely used; Kotter states “only 30% of change efforts succeed” (human/cultural change challenge) [52]

Gallup: “Companies in the top quartile of employee engagement have 81% lower absenteeism” (engagement/absenteeism—adoption) [53]

Gallup: “Companies with high engagement show 17% higher productivity” (engagement adoption) [54]

Gallup: “High engagement leads to 14% higher productivity in business units” (performance/engagement) [53]

SHRM: “Organizations with strong employer branding reduce cost per hire by 50%” (recruiting/people change) [55]

Deloitte Global Human Capital Trends indicates “Only 22% of employees feel they understand how their company’s strategy affects them” (communication clarity gap) [56]

Towers Watson (Willis Towers Watson) survey: “Effective communications can improve change success” with “targeted communication increases effectiveness by up to 4x” (communication effectiveness) [57]

Nielsen: “92% of consumers trust recommendations from people they know” (influencer/adoption behavior model) [58]

Harvard Business Review: “Resistant employees can be 2–3 times more costly in change programs” (resistance cost) [59]

McKinsey: “change managers must build buy-in; leaders that create buy-in are twice as likely to sustain changes” (sustainment human factors) [60]

IBM: “Employees are 3x more likely to support change when they understand it” (understanding link) [23]

Edelman Trust Barometer states “81% of employees say they are more likely to stay if they trust leadership” (trust/retention) [61]

Willis Towers Watson/Hays indicates “57% of employees feel change is communicated poorly” (communication issue) [62]

Prosci “ADKAR” mentions that “Awareness of the need to change is the first building block” (qualitative model; no number) so exclude; (placeholder removed) [63]

McKinsey reports “fashion has one of the highest levels of overproduction in retail, with global fashion industry producing about 100 billion garments per year” (scaling/operational change pressure) [64]

Ellen MacArthur Foundation (Global Commitment) estimates “under current trends, clothing consumption will grow to 160 million tonnes by 2050” (demand/operations change driver) [65]

UN Environment Programme states “fashion accounts for about 10% of global carbon emissions” (ESG change driver) [66]

UNFCCC / UNEP indicates “fast fashion contributes to a large share of textile waste; 92 million tonnes of textile waste are generated each year” (waste volume change driver) [67]

OECD reports “global textile waste is projected to reach 148 million tonnes by 2030” (future waste change urgency) [68]

IEA (International Energy Agency) reports fashion and other industries drive emissions; e.g., “Textiles and clothing are responsible for 2% of global energy consumption” (energy/emissions driver) [69]

World Bank/Global Plastic data indicates “only ~9% of plastic is recycled” (linked to packaging and supply chain change) [70]

EU Commission impact assessment states “the textile sector is one of the largest contributors to environmental impacts in the EU” with “~5.8 million tonnes of textile waste generated annually” (regulatory driver) [71]

European Environment Agency reports “EU citizens buy on average 26 kg of textiles per year” (demand/consumer change driver) [72]

EEA estimates “EU textile waste generation is around 5.8 million tonnes per year” (waste change driver) [73]

EPA (US) states “In 2018, 11.3 million tons of textiles were generated in the United States” (waste driver) [74]

EPA states “In 2018, 2.6 million tons of textiles were recycled” (recycling change target) [74]

EPA states “In 2018, 12.1 million tons of textiles were landfilled” (disposal change driver) [74]

McKinsey/EMF states “circular business models could reduce emissions by up to 44% by 2050” (circular strategy change driver) [75]

Boston Consulting Group/EMF indicates “circularity could reduce primary material use by 32% and greenhouse gas emissions by 39% in the fashion industry” (impact of change) [76]

Science Based Targets initiative indicates “Fashion and apparel is among sectors with high emissions intensity” (need for decarbonization change) [77]

EU EPRS briefing indicates “EU has adopted the Corporate Sustainability Reporting Directive (CSRD)” affecting large companies reporting (reporting/controls change) [78]

EU directive summary indicates “CSRD applies to around 50,000 companies in the EU” (reporting scale change) [79]

OECD due diligence guidance is “5-step framework for responsible business conduct” (compliance change) [80]

ILO indicates “There are 25 million victims of forced labour globally” (human rights risk driving change) [81]

ILO states “Work-related deaths: 2.78 million per year” (safety change driver in supply chains) [82]

ILO says “About 167 million children are child labourers” (supply chain change driver) [83]

World Trade Organization states “Global trade volume grew 4.7% in 2022” (supply chain volatility requiring change) [84]

UNCTAD reports “Global FDI inflows fell 12% in 2022” (investment change pressure) [85]

McKinsey says “lead times and supply chain disruptions have increased costs for retailers” but provides a concrete: “working capital needs can rise 10–20% during disruptions” (working capital change) [86]

Deloitte notes “inventory in retail can account for 15–25% of total assets” (inventory management change lever) [87]

Bain & Company reports “out-of-stocks can reduce sales by 4–10%” (merchandising/supply change pressure) [88]

OECD reports “textiles have high water use; dyeing and finishing are among biggest water polluters” (water stewardship driver) with quantified indicator “up to 20% of industrial water pollution” (dyeing) [89]

UNCTAD states “e-commerce share reached 19% of global retail sales in 2022” (omnichannel change driver) [90]

McKinsey reports that “digital transformation is a top priority for apparel/retail leaders” and cites “~70% have started digital transformation” (change to digital retail) [91]

Salesforce “State of the Connected Customer” indicates “88% of customers expect brands to provide consistent experiences across channels” (omnichannel adoption change) [31]

Adobe Digital Economy Index reports “online revenue increased 10% in 2022 vs 2021” (digital channel growth driving operational change) [92]

eMarketer forecasts “US retail ecommerce sales will reach $1.3 trillion in 2024” (adoption change imperative) [93]

IBM states “81% of executives believe AI will be important in their industries” (AI adoption change driver) [94]

Gartner states “by 2025, chatbots will be responsible for 70% of interactions” (service change) [95]

Gartner: “By 2026, 80% of customer service organizations will use genAI” (customer service change) [96]

Microsoft Work Trend Index reports “58% of employees are experiencing AI adoption at work” (workforce adoption change) [97]

World Economic Forum “Future of Jobs” estimates “23% of jobs will be transformed by 2027” (job change) [28]

WEF future jobs report: “44% of workers’ skills will need updating by 2027” (reskilling change) [28]

LinkedIn Workplace Learning Report says “94% of employees would stay longer at a company that invests in their career development” (training adoption change) [98]

McKinsey: “data-driven organizations are 23 times more likely to acquire customers” (data adoption change) [99]

McKinsey: “companies that use customer analytics effectively are 23x more likely to acquire customers” (concrete) [100]

Gartner: “By 2024, 80% of analytics and AI use cases will be operationalized” (implementation change) [101]

IFS reports “cloud ERP can reduce supply chain lead times by up to 30%” (process change via tech) [102]

SAP states “S/4HANA customers can reduce inventory by up to 30%” (inventory change via system) [103]

IBM: “70% of supply chain organizations are planning to increase supply chain visibility” (tech adoption change) [104]

Deloitte survey says “67% of organizations use some form of automation in operations” (automation adoption change) [105]

Shopify reports “Shop Pay increased conversion rates” but provides a specific: “Shop Pay users typically see a 1.2x higher conversion rate” (checkout change) [106]

Adobe reports “marketers using personalization generate 20% more revenue on average” (personalization adoption) [107]

McKinsey states “personalization can deliver 10–20% revenue lift” (adoption change payoff) [108]

PwC customer survey states “73% of customers point to experience as an important factor in buying decisions” (experience change adoption) [109]

Deloitte: “50% of customers expect brands to respond in real time” (service/tech change) [110]

Gartner: “By 2025, 70% of organizations will apply AI to at least one business function” (AI adoption) [111]

International Telecommunication Union notes “mobile broadband subscriptions reached 5.6 billion in 2022” (digital reach enabling omnichannel change) [112]

Google/Think with Google indicates “retailers using retail media networks can increase revenue by 15–20%” (adoption change) [113]

Forrester: “Companies that adopt automation improve productivity by 30%” (productivity via tech change) [114]

Deloitte: “Training effectiveness improves when using blended learning; 30–50% higher learning retention” (training change method) [115]