Chapter 11 — Recruitment

Chapter 11 opens with eight learning goals, numbered 11.1 through 11.8, reproduced verbatim because the chapter's own structure — planning, internal recruitment, external recruitment, operations, and evaluation — maps directly onto them.

1. 11.1 Describe the recruitment process as a talent supply chain
2. 11.2 Explain the three sequential stages of recruitment and key activities that affect each one
3. 11.3 Identify fundamental questions to address when planning for recruitment
4. 11.4 Discuss the pros and cons of hiring internally versus externally
5. 11.5 Explain why a positive organizational image and employer brand help attract candidates
6. 11.6 Know the fundamental questions about internal recruitment that all organizations need to address
7. 11.7 Craft a strategy for increasing the diversity of an organization's workforce
8. 11.8 Identify situations in which realistic job previews will and will not work well

The chapter frames recruitment as serious, high-stakes business: "Recruitment is a business, and it is big business" (Bersin, quoted in Deloitte, 2015), and quotes Steve Jobs: "Recruiting is hard. It's finding the needles in the haystack... I take it very seriously" (Jobs, 2008). Talent acquisition is becoming harder, not easier. The Internet has transformed the practice: nearly 20% of the world's workforce changes jobs each year, more than 50,000 job-recruitment sites exist globally, and about a third of LinkedIn's revenue comes from recruiters buying its software — a "leveling of the information playing field" (Maurer, 2016a).

Building on the external staffing supply chain from Chapter 3 (Figure 3.2), Figure 11.1 models recruitment as a four-link talent supply chain — links that overlap in practice but are conceptually distinct:

This supply chain rests on the strategic workforce planning systems from Chapter 10 — talent inventories, forecasts of supply and demand, action plans, and control/evaluation procedures. Figure 11.2, from Dineen and Soltis (2011), is the chapter's overarching framework, integrating earlier sequential-stage models (Barber, 1998; Breaugh, Macan, & Grambow, 2008) with contextual and "key-process" issues (Rynes & Cable, 2003). Two decision points — application and job choice — separate the primary stages.

Three contextual features affect all recruitment: characteristics of the firm (its "brand" and "personality"; Cascio & Graham, 2016; Lievens & Slaughter, 2016), characteristics of the vacancy (is it mission-critical?), and characteristics of the labor market. Three sequential stages characterize recruitment: generating a pool of viable candidates, maintaining their status/interest, and "getting to yes" after a job offer (postoffer closure). Key activities shape each stage — messaging at generation; screening and interactions with recruiters, managers, and employees while maintaining interest; offer timing and "exploding" offers at closure. Key processes drive each stage's outcomes: social networking and information processing via the elaboration likelihood model (Jones, Shultz, & Chapman, 2006) at generation; communication, rapport, and signaling at maintenance; negotiation and competitive intelligence at postoffer.

Recruitment planning begins with a clear specification of HR needs — numbers, skills mix, levels — and the time frame for meeting them, particularly relevant to workforce diversity goals and timetables. Labor-force availability and internal representation of women and minorities are critical inputs; the U.S. Census Bureau supplies this by geographic area. Two further questions must be addressed: whom to recruit and where to recruit (Breaugh, 2008; Ployhart & Kim, 2014; Rynes, Reeves, & Darnold, 2014). Answers set recruitment objectives — e.g., attracting a target number of applications for mission-critical jobs from passive job candidates (people not currently looking) — which later anchor evaluation.

With objectives set, Breaugh (2012) frames the key strategy questions: (a) when to begin recruiting, (b) what message to communicate, and (c) whom to use as recruiters, each consistent with the objectives. On messaging: satisfaction with coworkers enhances older-worker engagement (Avery, McKay, & Wilson, 2007), so messages to older workers might emphasize person–group fit; Rau and Adams (2005) found EEO statements, knowledge-transfer opportunities, and flexible schedules all positively influenced attraction of older workers.

With a comprehensive workforce plan for each segment (entry-level, managerial, professional, technical), internal candidates should be considered first. Breaugh (2014) and Maurer (2016b) name four advantages: (1) less transition time, since current employees already know the employer's products, people, and procedures; (2) greater likelihood of a successful placement, since employers know far more about internal candidates' past performance, temperament, and work ethic; (3) lower cost than filling a position from outside; and (4) a positive motivational effect on other employees when promotions from within are seen as deserved.

A common obstacle is talent hoarding — managers reluctant to release subordinates for transfer or promotion interviews; half of 665 surveyed firms called it a serious problem (Lublin, 2017). Overcoming it requires top-management support for promotion-from-within, a philosophy that lets employees pursue internal moves, and manager incentives to release talent. At EY, Johnson & Johnson, and PepsiCo, manager pay now partly reflects how well they nurture people; Avanade rotates leaders into new roles every few years so high-potential employees get noticed (Church, 2017; Lublin, 2017).

In-house talent should get first use before external recruiting begins; skipping it risks short-term morale costs and long-term difficulty attracting or retaining talent. Organizations increasingly use job postings (intranets, internal social media, newsletters), employee referrals (a way to reach passive candidates; Ryan, 2017), and temporary worker pools (Kauflin, 2016).

Firms today hire externally at every level (Cappelli & Keller, 2017). Doing so well starts with estimating three parameters — time, money, and staff needed to hit a hiring rate (Hawk, 1967) — anchored by one statistic: leads needed per hire. Yield ratios are ratios of leads to invites, invites to interviews, interviews to offers, and offers to hires over a period. Time-lapse data give average intervals between events (e.g., offer to acceptance, acceptance to payroll). With no prior data, an organization must hypothesize and monitor as the program runs.

Worked Example — ABC Engineering Consultants

ABC Engineering Consultants is opening two offices and needs 100 additional engineers in six months. Chaining its historical ratios together:

• Offer-to-acceptance ratio 2:1 — 100 acceptances require 200 offers.
• Interview-to-offer ratio 3:2 — 200 offers require 300 interviews.
• Invites-to-interview ratio 4:3 — 300 interviews require 400 invited candidates.
• Contacts-to-invite (leads) ratio 6:1 — 400 invites require 2,400 contacts.

This chain is Figure 11.3, the Recruiting Yield Pyramid, adapted from Hawk (1967) — the pyramid shape shows how sharply the pool narrows, from 2,400 contacts down to 100 hires. A separate, AI-screening funnel from Weber (2012): of 1,000 people who notice an online posting, about 200 begin applying, about 100 complete it, a hiring manager reviews about 25 résumés, 4–6 are invited to interview, 1–3 finalists complete the process, and one person is offered the job — accepting 80% of the time.

Time-Lapse Data — Figure 11.4

For ABC: résumé-to-invitation averages four days; interview follows five days later; offers come three days after interviews; acceptance/rejection follows within a week; reporting to work takes three more weeks after acceptance — a 40-day pipeline (Figure 11.4). Glassdoor data on 350,000 cases show companies average 23 days to screen and hire, excluding report time (Shellenbarger, 2016); SHRM (2016c) reports average time-to-fill of 42 days.

Yield ratios and time-lapse data are source- and job-specific; ABC's figures apply only to its engineers. Applying online takes three more weeks on average to land a job than contacting an employer directly, and six more weeks versus a personal referral (Maurer, 2016a). A labor market is the geographic area where worker supply meets employer demand to set the price of labor; recruiting geography depends on job type, so no local labor market's boundaries are ever precise (Newman, Gerhart, & Milkovich, 2016). Abundant supply cheapens labor; scarce supply forces a wider search.

Table 11.1 — Internal vs. External Recruitment

Experienced recruiters produce about 50 new hires per year, varying by company size (85/year at a large firm, 20–30 at a small one; Glenn, 2009) — on this basis, ABC would need four full-time recruiters to meet its 100-engineer target. Without prior experience data, developing yield hypotheses is harder but not impossible: it requires analyzing the external labor market by source and competitor demand, plus a broader "company advantage study" of geographic factors, cost of living, housing, schools, and similar quality-of-life variables.

Organizational image, reputation, and future opportunity are a distinct recruiting lever (Collins, 2007; Collins & Han, 2004; Feffer, 2016; Weber, 2016). Image is a strong predictor of organizational attraction, ρ = .48 (Allen, Mahto, & Otondo, 2007; Lievens & Slaughter, 2016), for three reasons (Lievens & Slaughter, 2016; Rynes & Cable, 2003): (1) people want to associate with organizations that enhance their self-esteem; (2) a positive reputation signals other desirable attributes like high pay and career growth; and (3) it makes applicants more receptive to whatever information the organization provides.

The International Organization for Standardization (2017) has issued a cost-per-hire international standard, ISO 30405. CPH measures the sourcing, recruiting, and staffing costs an employer bears to fill an open position — the ratio of total dollars spent (external plus internal) to total hires in a period (Equation 11.1).

Effective planning analyzes recruiting sources on three dimensions: cost per hire, time lapse to hire, and source yield. On cost, private employment agencies and executive search firms are most expensive, with fees up to 35% of first-year salary (Stewart, 2015); field trips are next; advertising responses, Internet responses, write-ins, and internal transfers cost less; and employee referrals, direct applications, and walk-ins are cheapest of all.

On time lapse, college recruiting is inherently uneven since reporting dates cluster around graduation. Among steady-flow sources, employee referrals and direct applications show the shortest contact-to-report delay (Maurer, 2016a); the Internet is hard to beat when infrastructure is efficient, via cloud-based ATS platforms like IBM Kenexa BrassRing, Greenhouse, and SmartRecruiters, which give recruiters wider reach and analytics dashboards (Maurer, 2017a; Zielinski, 2015) — 75% of hiring managers now use ATS or recruiting software (Kandefer, 2017). Applicants take about 15 applications on average to land a job through an online job site, versus 10 applying directly, and just 6 when referred by a current employee (Maurer, 2016a).

Source yield is the ratio of candidates from a source to hires from that source; no universal ranking holds, but Breaugh, Greising, Taggart, and Chen (2003) compared five methods for IT jobs (referrals, direct applicants, college placement, job fairs, newspaper ads) and found no difference in education or interview score, though college-placement recruits had less experience — referrals and direct applicants were more likely to receive and accept offers despite not differing in measured quality. A two-year study of 386 referrer–referral pairs at a call center (Pieper, 2015) found referral hires from high-performing referrers performed better but had higher turnover propensity.

Source popularity is shifting: 87% of recruiters use LinkedIn, 55% use Facebook (Kandefer, 2017). Informal contacts remain effective at all levels, and "word-of-mouse" — informal Web-based conversation about companies — is seen as more credible than Web testimonials (Farrell, 2012; Van Hoye & Lievens, 2007).

Once planning is complete — workforce plans set, time/cost/staff requirements specified, sources analyzed, job requirements validated — recruiting operations begin. All organizations must address five operational questions about internal recruitment, illustrated by technical professionals moving into management (Cascio, 2018):

1. How does the organization create a talent pool (e.g., prepare technical professionals for future management)?
2. How does it attract candidates for promotion — do the most suitable technical professionals actually want to move into management?
3. How does the system choose candidates — reward for technical performance, or for leadership ability?
4. How does the organization make offers to land candidates?
5. How does the organization onboard new leaders — how much support and training do they get?

Internal mobility also builds social-network ties into new parts of the business (Somaya, Williamson, & Lorinkova, 2008). Even so, organizations often go external to fill entry-level or higher-level jobs, expansion-driven jobs, or jobs current employees can't meet. Available external sources include:

• Advertising — Internet job boards/talent platforms, newspapers, social media, professional journals, TV, radio, outdoor
• Employment agencies — federal/state agencies, private agencies, executive search firms, management consulting firms, temporary-help agencies
• Educational institutions — technical/trade schools, colleges/universities, co-op programs, alumni placement offices
• Professional organizations — technical society meetings/conventions and placement services
• Military — out-processing centers, retired-officer-association placement services
• Labor unions
• Career fairs — physical or virtual
• Outplacement firms
• Direct application — walk-ins, write-ins, online applicants
• Intracompany transfers and company retirees
• Employee referrals

Sources split into formal (agencies, advertising, search firms) and informal (walk-ins, write-ins, referrals). Evidence on popularity (Breaugh, 2012; Dineen & Soltis, 2011; Griffeth, Tenbrink, & Robinson, 2014): public employment services decline as required skill rises; the internal market dominates except at entry/unskilled levels; larger firms use walk-ins, write-ins, and internal markets most, gaining a hiring advantage (Knowledge@Wharton, 2014); no source reliably predicts person–job fit; combining sources with informal ones gives the most realistic information.

Overall, evidence linking recruitment source to turnover and performance is weak (Griffeth et al., 2014); what matters more is how much support/information a source provides and how well it prescreens (Maurer, 2017b; Rynes et al., 2014). More informative ads are seen as more attractive (Allen et al., 2007) and credible (Allen, Van Scotter, & Otondo, 2004); specific ads increase interest and fit (Roberson, Collins, & Oreg, 2005), and fit is the best meta-analytic predictor of applicant attraction (Uggerslev, Fasina, & Kraichy, 2012).

Employee referrals work for three reasons (Breaugh, 2014; Griffeth, Hom, Fink, & Cohen, 1997): current employees prescreen referrals to protect their own reputations; referrals have more accurate job expectations from talking to current employees; and new referral hires have a built-in coach. Referral participation is largely unaffected by bigger incentives like cash bonuses or cars (Breaugh, 2012), and referrals consistently produce lower quit rates than other sources (Griffeth et al., 2014).

Recruitment is one of the easiest activities to foul up administratively, with long-term reputational cost. Almost 60% of job seekers report a poor candidate experience, and 72% share it online — via Glassdoor, social media, or word of mouth (Kandefer, 2017). Organizations rely on an ATS to reduce this: Figure 11.5 diagrams the flow from a hiring manager's requisition, to posting across channels, to application and acknowledgment, to pass/fail screening, to interviews of the most promising candidates, to selection.

Box 11.2 — Recruiting for Diversity

The first, hardest step is determining diversity needs, goals, and target populations. Then (Babcock, 2017; Dineen & Soltis, 2011; Kravitz & Klineberg, 2000; Volpone, Thomas, Sinisterra, & Johnson, 2014):

• Emphasize available training/career-development, diverse upper management, and a diverse existing workforce (Avery, 2003).
• Contact community-support and external recruiting/training organizations.
• Develop results-oriented programs specifying actions, participants, and timing.
• Invite program representatives to tour the organization — they notice minority headcount, job levels held, and cross-group interactions (McKay & Avery, 2006).
• Select diverse organizational contacts and recruiters, including staff outside HR.
• Secure top-management support; train managers to value diversity.
• Build monitoring and follow-up procedures, revising as needed.
• Communicate the message carefully — Cropanzano, Slaughter, and Bachiochi (2005) found preferential-treatment plans unappealing to prospective minority candidates, who want to be seen as treated fairly, not preferentially.

Box 11.3 — Completion Rates of Online Job Applications

More than 80% of active candidates use smartphones to apply, yet up to 60% quit midway through an online application due to length or complexity. Appcast's study of 500,000 job seekers found completion rates drop almost 50% when an application asks 50+ questions versus 25 or fewer. Double logins and overly brief job descriptions are other barriers; descriptions of 250–2,000 words convert five times better than 170–250-word ones (Zielinski, 2016a).

Thorough planning simplifies evaluation: cost and quality hypotheses get checked against actual results, so trade-offs rest on data, not hunch (Cascio & Boudreau, 2011b; Feffer, 2017; Maurer, 2016d). Metrics should match the recruitment stage in Figure 11.2 — total résumés at generation, postvisit/rejection questionnaires while maintaining status, acceptance-to-offer ratio at postoffer closure — though success ultimately means placements made. Quality-of-hire needs both prehire metrics (time-to-fill, assessment scores) and distinct posthire metrics (performance, cultural fit) (Maurer, 2015b).

Results should be presented graphically via dashboards so recruiters and managers can track performance and hiring trends. Formal procedures exist for translating source/cost differences into monetary payoffs from recruitment and selection (Boudreau & Rynes, 1985; Cascio & Boudreau, 2011a; De Corte, 1999; Law & Myors, 1993; Martin & Raju, 1992), since executives want financial return visibility.

Turning the lens around: many applicants (a) misunderstand what a job opening involves, (b) are unsure what they want from a position, (c) lack self-insight into their own KSAs, and (d) can't predict how they'll react to a new position's demands (Breaugh, 2008, 2012; Breaugh et al., 2008; Rynes & Cable, 2003). The Internet changed applicant-side dynamics in four ways (Dineen & Allen, 2014): richer information, more customized information, a shift from organizations pushing information to candidates pulling it, and a decentralized recruitment function.

92% of companies use social media for recruiting, and 45% of Fortune 500 firms link social media from career pages (Staff.com, 2013). Company sites (Accenture, Goldman Sachs, Ikea, L'Oréal) offer interactive person–organization fit tools (Ryan & Delaney, 2017); networking sites (LinkedIn, Facebook, Google+, Twitter) let members build social/business webs; SilkRoad's OpenHire shows candidates potential connections between an organization and their existing network (Career Profiles, n.d.). Networking matters because casual contacts often point people to their next job (Rosato, 2009; Sundheim, 2014; Wanberg, Kanfer, & Banas, 2000; Yang, 2009) — a tight network of 50 beats a shallow one of 1,000 (Rosato, 2009).

Applicants care as much about the right organization as the right job. Chapman et al.'s (2005) meta-analysis found work environment (ρ = .60) and organizational image (ρ = .48) are the strongest predictors of organizational attraction. Employer image is one piece of a broader organizational-image construct (financial image, corporate-responsibility image, provider-of-goods/services image; Lievens & Slaughter, 2016), defined as constituents' transient mental representations of a company as an employer (Highhouse, Broadfoot, Yugo, & Devendorf, 2009). Organizations with a positive image attract more, better applicants; external employer branding is synonymous with employer-image management (Lievens & Slaughter, 2016).

The most feasible image lever is simply providing more information — recruitment and product/service information alike (Cable, Aiman-Smith, Mulvey, & Edwards, 2000) — plus community citizenship and emphasizing culture, values, collaboration, and teamwork day-to-day (SHRM, 2016a). Customized information tends to make poor-fitting job seekers self-select out rather than making well-fitting seekers self-select in (Dineen & Noe, 2009).

Site visits clearly shape candidates' final choices (Ryan & Delaney, 2017), but Slaughter, Cable, and Turban (2014) found recruits with low confidence in their initial impressions were far more swayed by a site visit than those with strong prior impressions, whose views rarely changed.

Because employers try to appear a good place to work (Buss, 2017), applicant expectations run inflated — making new hires more likely to become dissatisfied and quit sooner. In a Futurestep survey, 90% of 1,817 executives called new-hire retention an issue, and more than half said up to 25% of new hires leave within six months (Maurer, 2017d). A realistic job preview (RJP) is the countermeasure: lowering naive expectations to match reality may lower acceptance rates, but raises job performance, satisfaction, and survival (Breaugh, 2008; Hom, 2011; Landis, Earnest, & Allen, 2014; Phillips, 1998; Premack & Wanous, 1985; Wanous, 1977; Weller, Michalik, & Muhlbauer, 2014). Meta-analysis shows RJPs improve retention by 9% on average, with smaller gains for low-complexity jobs (McEvoy & Cascio, 1985).

RJPs work best under three conditions (Breaugh, 1983, 1992; Wanous, 1980, 2017): a low selection ratio; entry-level positions, since outside hires have more inflated expectations than internal movers; and low unemployment, since candidates have more alternatives to compare against.

RJPs should be balanced — correcting overly pessimistic expectations upward and overly optimistic ones downward — building perceptions of the organization as caring, trustworthy, and honest (Meglino, DeNisi, Youngblood, & Williams, 1988). Overall evaluation is shaped more by the intensity of an applicant's emotional reaction than by the balance of positive versus negative content — one very positive element can offset several mildly negative ones (Reeve, Highhouse, & Brooks, 2006). Intrinsic factors need an RJP more than extrinsic ones, since recruiters find factual material easier to communicate than cultural nuance, though intrinsic factors more strongly drive job satisfaction (Kacmar & Ferris, 1989). RJPs aren't limited to entry-level hiring: Caligiuri and Phillips (2003) used one for overseas-assignment decisions, and Templer, Tay, and Chandrasekar (2006) showed one easing cross-cultural adjustment for transferred employees.

The chapter closes its applied content with a common scenario after mergers, restructurings, and downsizings: a well-regarded, well-paid mid-level executive is laid off. Consultants and recruiters (Boswell, 2017; Nishi, 2010; Shellenbarger, 2010) offer a what-not-to-do list for the ensuing search:

• Don't panic — searches take seven months to a year even for qualified managers.
• Don't be bitter — bitterness slows the search and turns off employers.
• Don't be ashamed — tell family and friends you're looking.
• Don't drift — build a plan and target companies relentlessly; finding a job is now your job.
• Don't kid yourself — do a thorough self-appraisal; offer something in return for a meeting, since organizations always have problems even without open jobs.
• Don't be lazy — research is the heart of a good search; use contacts to build a target list.
• Don't be shy or overeager — personal contacts are the most effective path to a job, but resist accepting the first offer unless it's genuinely right.
• Don't ignore your family — bring them into the process honestly.
• Don't lie — in résumés or interviews; use interviews to show what you'll deliver in the first 30, 60, and 90 days.
• Don't jump the gun on salary — let the employer raise it first, and explore the full package once it surfaces (Ryan, 2016).

Cascio and Aguinis close every chapter with an "Evidence-Based Implications for Practice" list — the chapter's own executive summary, worth reading as a final checklist before any quiz or discussion post.

• Recruitment is not a "one-shot" activity. Recognize three contextual features affecting all recruitment: (a) characteristics of the firm — its "brand" and "personality"; (b) characteristics of the vacancy — is it mission-critical?; and (c) characteristics of the labor markets in which the organization recruits (tight versus loose).
• Three sequential stages characterize recruitment: generating a pool of viable candidates, maintaining the status/interest of viable candidates, and "getting to yes" after a job offer (postoffer closure). Devote special attention to each.
• The Internet is where the action is in recruiting. Nearly 60% of all Internet hires come from a company's own website, and the best ones make it simple to apply, providing a wealth of information and a favorable impression.
• Provide a realistic job preview. Ensure it enhances overly pessimistic expectations and reduces overly optimistic ones, and conveys realistic information about organizational culture.

Chapter 11 ends with nine discussion questions. Each is paired below with a concise model answer grounded in the chapter's content.

1. Describe three key issues to consider in recruitment planning.

Planning must specify HR needs precisely — numbers, skills mix, levels, timeframe — especially important for diversity goals and timetables. Planners must decide whom and where to recruit, since both set recruitment objectives, then translate objectives into a strategy: when to begin, what message to send, whom to use as recruiters.

2. How do labor-market conditions affect wages and yield ratios?

A labor market is where worker supply meets employer demand to set labor's price; recruiting geography depends on job type, so no local market's boundaries are ever precise. Abundant supply cheapens labor and produces favorable yield ratios; scarce supply (e.g., specialized engineers unavailable locally) forces a wider search and drives wages up as competition intensifies.

3. Discuss the advantages and disadvantages of Internet-based recruiting.

Internet recruiting reaches wider audiences at lower cost and lets candidates pull information rather than wait for employers to push it — nearly 60% of Internet hires come from a company's own website. Disadvantages: applying online takes three weeks longer on average than contacting an employer directly, six weeks longer than a referral, and lengthy or complex applications cause up to 60% of candidates to quit partway through.

4. As a senior manager, what metrics would you find most useful in assessing recruiting effectiveness?

Metrics should match each stage: total résumés and source yield at generation; postvisit/rejection questionnaires while maintaining interest; acceptance-to-offer ratio at postoffer closure. Cost per hire by source and time-to-fill matter too, but should pair with posthire quality measures like performance and retention, since time/cost alone can mislead if quality is ignored.

5. How would you structure an employee-referral program?

An effective program leans on employees' intrinsic motivation to prescreen referrals to protect their own reputations, rather than assuming bigger cash incentives improve participation — the chapter notes participation is largely unaffected by larger rewards. It should ensure accurate previews from the referring employee and built-in coaching after hire, and pair with dedicated diversity outreach if the workforce isn't already diverse, since referrals can otherwise perpetuate existing demographics.

6. How can applicant tracking systems enhance recruitment efficiency?

ATSs standardize the flow from requisition to posting to application to screening to interview to selection, reducing failures behind the poor candidate experiences nearly 60% of job seekers report. Modern platforms add analytics on time-in-stage and recruiter activity, and increasingly use AI to prioritize requisitions and automate candidate communication — closing the loop that too often leaves rejected candidates without a response.

7. Outline the components of a diversity-based recruitment effort.

Define specific needs, goals, and target populations first, then build outreach through community and external recruiting/training organizations. Add a results-oriented program with clear actions and owners; a diverse slate of recruiters, including staff outside HR; top-management support and manager training; and ongoing monitoring. Messaging matters as much as mechanics — communicate clearly what the program does and doesn't entail, since prospective minority candidates react negatively to anything read as preferential rather than fair.

8. Identify five recommendations for a friend seeking a new job.

Drawing on Box 11.5: don't panic, since even qualified managers can take up to a year; don't drift, but build a target-company list and pursue it relentlessly; don't be lazy about research, using contacts and the Internet to learn a target company's needs first; network deliberately, since personal contacts are the most effective path to a job, while resisting the first offer that comes along; and don't lie — be candid about weaknesses and focus on what you'll deliver in the first 30, 60, and 90 days.

9. What would you recommend to enhance your organization's image?

The most feasible lever is providing more information — recruitment details plus broader product/service advertising that builds public awareness. Community involvement, such as sponsoring events or paid community-project time, also strengthens image, alongside emphasizing culture, values, collaboration, and teamwork day to day — since organizational image (ρ = .48) is a strong predictor of attraction, and a positive image consistently draws more, and better, applicants.

Every bolded or explicitly defined term in Chapter 11, in one line each, in the order the chapter introduces them.

A single table capturing the chapter's supply-chain model, planning framework, signature worked example, and most quotable claims — everything needed to answer a cold-call question about Chapter 11 without re-reading it.